Total 615 Engineering job vacancies in High Wycombe, Buckinghamshire

Site Services Engineer
Buckinghamshire

Commutable from - Milton Keynes, Bletchley, Leighton Buzzard, Luton, Bedford, Aylesbury

Monday-Friday Days

£50,000-£55,000 (DOE) - Rising to £61,000 with training plan!

Benefits:-

• 31 Days Holiday, Discounted Company Shares Scheme
• 5% Matched Private Pension & Life Assurance
• BUPA Private Healthcare
• Staff Discounts, Subsidised Canteen, Car & Bike Schemes, Team/Family Events
• Engineering Skills Matrix Training & Development Plans for all Engineers

Our client is a leading food manufacturing company, the site is part of a larger national organisation. Due to growth and further expansion within the factory, they are looking for a Site Service Engineer to join the facilities & site services team.

Role & Responsibilities:

• Carry out electrical & mechanical fault finding, repairs and testing of all site services & infrastructure that supports manufacturing
• 75% PPM's and testing of systems, 25% reactive & breakdowns
• Industrial boilers, steams systems, vacuum pumps, air compressors, driers
• CHP plant, water & effluent management, refrigeration - CO2, Ammonia & Glycol
• HVAC, facilities, chillers, utilities
• Site services projects & continuous improvement work
• Working on pumps, compressors, hydraulics, pneumatics

Knowledge, Skills & Experience:

• Must be a multi-skilled engineer - electrical & mechanical fault finding skills
• Dealt with pumps, compressors, hydraulics, pneumatics
• At least 5 years' experience outside of training/apprenticeship as a site services, utilities or facilities
• Minimum NVQ / City & Guilds Level 3 qualified
• Must have completed some form of apprenticeship
• Refrigeration experience - CO2, ammonia & glycol
• Beneficial if worked in high-care food manufacturing
• Must have worked with industrial boilers
• BOAS qualified
• 17th or 18th Edition beneficial

"To apply please email your CV / resume to [ chrisg@hunterselection.co.uk ]". - Chris Gumm - 01908 010 438

If you are interested in this position please click 'apply'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Your Role

We are looking for an experienced Maintenance & Service Engineer/ Welding Engineer/ Senior Technician responsibility for support troubleshooting and repair work on welding machine. You will perform preventive maintenance on machines and cost reduction. Support new equipment installation and major periodic maintenance activities as required.

What Will You Do

• Support production troubleshooting and repair on welding machine
• Perform preventive maintenance on machines and cost reduction
• Support new equipment installation and maintenance activities
• Other ad-hoc duties assigned by manager

What Do We Want

• Min Diploma & above in electrical and electronic/ engineering / equivalent.
• At least 1-2 years & above of experience in electrical and electronic/ in service of welding products/system background.
• A team player with good communication and interpersonal skills.
• Willing to travel overseas as needed.

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3300 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Your Role
We are looking for an experienced Senior Sales Engineer / Sales Engineer (Laboratory/ Electronic Testing) to develop & identify business opportunities including sales visits, preparation of proposals, products & proposals presentation, contracts negotiation and closing of sales.

What Will You Do

• To develop and identify business opportunities
• To do sales visits, preparation of proposals & closing of sales
• To develop sales strategies for the growth of existing and new accounts
• To market wide range of products and provide customers with solutions
• To meet sales quota set and participate in yearly and periodic budget exercises.

What Do We Want

• At least Diploma/ Degree in Electronic/ Telecommunication / Engineering in relevant fields
• Min 2-3 years of relevant work experience in electronic testing / laboratory fields.
• Good communication skill & has pleasant personality and positive attitude.
• Possess own transport will be advantage.
• Willing to travel.

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3800 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Job Summary

You will be working with a team of professional engineers to challenge status quo, think different, thrive in ambiguity to meet mission objectives of our customers. You will lead a team of software engineers and work closely with other cross functional teams, Service Delivery Managers and Project Managers to deliver quality satellite ground software systems to our customers.

Job Responsibilities

• Drive the design and architecture of satellite ground control and antenna management software systems.
• Lead software team in implementing design, testing, verification, and validation of all software components.
• Implementation of cybersecurity measures for software applications
• Generate and maintain software development documentation.
• Plan and provide necessary software maintenance, training, and consultancy to users on the deployed software.
• Continuously develop new skills & techniques in software technologies to improve and reduce software development time and effort.
• Participate in the definition and development of future products.
• Collaborate with various stakeholders including customers, and engineering teams across organizations.
• Able to challenge the status quo, think different, thrive in ambiguity, care for team members and being ever curious.

Job Requirements

• Knowledge in Computer Engineering or related field.
• At least 8 years’ experience in mission critical system software development.
• Proficient in developing full stack applications, preferably with C#, JS.
• Experience with database, API design, network architecture, message broker, and cloud technologies.
• Experience with core engineering infrastructure tools such as GIT servers, CI/CD pipelines, Container Technologies.
• Familiar with agile software development lifecycles.
• Good understanding of hardware.
• Able to communicate in English and work in a fluid, innovative environment.
• Singaporean only

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Assist and report to the Project Manager at construction site.

Ensure works are carried out according to the approved technical drawings, quality procedures, EHS and ISO requirements.

Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

EA Licence No. 16C7962

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Cathay Petroleum International was established in 2003 as an independent physical trading business. For almost 20 years, we have been sourcing crude oil from all over the world and delivering cargoes to satisfied consumers and customers whenever and wherever they need them. Today, we are a global energy and commodities group that trades millions of barrels of oil a week. Every day, our experienced team works together to add value to the international commodities market. Our strong capital position and robust network of relationships has enabled us to grow from strength to strength and retain a record of profitability.

Our head office is situated in Singapore, the centre of the world’s busiest energy routes, allowing us to easily manage the flow of energy from West to East. In 2021, Cathay was proud to expand our growing organisation by opening a new trading office in London, allowing our traders to work more efficiently covering all trading hours.

POSITION: ANALYST

LOCATION: SINGAPORE

KEY RESPONSIBILITIES

• Implementation of financial models, particularly VaR and Stress Test models, to bolster our risk management capabilities.

• Conduct in-depth analysis of large datasets to pinpoint risks and develop effective mitigation strategies.

• Compute and report Daily Profit & Loss (P&L), Exposure, and VaR, ensuring compliance with risk management policies.

• Provide clear explanations on P&L movements breakdown to stakeholders.

• Reconcile trades to verify accuracy in trading records and statements/recaps.

• Conduct monthly reconciliation of realized profit & loss, collaborating with other departments as necessary.

• Communicate risk metrics to trading teams, offering insights and recommendations for risk mitigation.

• Support risk management system and projects, contributing to tool development and process enhancement.

• Evaluate the creditworthiness of counterparties by examining their financial standings, business histories, credit ratings, and external factors.

• Examine, draft, and negotiate credit, collateral, and payment terms for ISDA Master Agreements and CSAs with counterparties.

• Any other duties as assigned by the Company.

QALIFICATIONS & KEY COMPETENCIES/ SKILL SETS

• Bachelor’s degree in finance, accounting, mathematics, statistics, or a related field.

• Minimum 1 year of relevant experience, with a preference for candidates who have worked in the Oil & Gas trading industry.

• Comprehensive understanding of financial markets, physical commodities, and derivatives markets.

• Proficiency in MS Excel, VBA, and Power BI, or similar data visualization software.

• Capacity to critically evaluate models and methodologies.

• Prior experience with Energy Trading and Risk Management (ETRM) systems is a plus.

• Exceptional communication and interpersonal abilities.

• Strong team player with a meticulous approach to work.

COMPENSATION

Salary will commensurate with qualifications & experience. Please submit your resume to: recruit@cathaypetroleum.com.sg

We regret to inform that only shortlisted candidates will be notified.

We are seeking a proactive Workspace Technology Engineer to provide end-user support. This role demands a strong problem-solver with excellent communication skills, capable of managing a range of hardware, software, and AV support issues. You’ll be the key interface between IT and the business, contributing to both day-to-day operations and greenfield projects. The ideal candidate will take initiative to analyze problems, propose solutions, and see them through to implementation while working alongside the team.

Key Responsibilities

• Serve as the initial point of contact for Workspace Technology issues, managing and resolving problems based on priority and severity.
• Ensure continuous availability of computing resources for end-users, coordinating with IT resources for escalated issues when necessary.
• Support cloud environments including servers, networks, and applications as needed.
• Provide timely resolutions via phone, email, or in-person support.
• Build, deploy, and manage Workspace Technology devices (including imaging, antivirus systems, application maintenance, patching, and system rollouts).
• Lead system orientation for new hires and manage end-user devices such as laptops, desktops, and mobile devices.
• Document processes, standards, configurations, and procurement details, ensuring records are up to date.
• Collaborate with the wider Workspace Technology team and Technology Team resources for comprehensive problem resolution.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 2-5 years of end-user or infrastructure support experience in a professional services environment.
• Fundamental understanding of Microsoft 365 (M365) setup and management within an organization.
• Good knowledge of hardware, including desktops, laptops, and mobile devices.
• Strong customer service orientation and a passion for helping end-users resolve issues efficiently.
• The ability to remain calm under pressure and handle urgent situations with professionalism.
• Excellent written and verbal communication skills, with the ability to multitask and manage time effectively in both independent and team settings.

Nice-to-Haves

• Experience with supporting users in the financial industry or on the trading floor.
• Strong technical background with the ability to identify, analyze, and resolve issues efficiently.
• Experience with Azure Active Directory, Windows, Unix environments, desktop, and server hardware.
• Familiarity with cloud platforms such as Azure and AWS (certifications are an advantage).
• Knowledge of PowerShell, scripting, or coding is highly desirable.

About The Company:
OCS UK & Ireland is a leading facilities management company with a turnover of £1.7bn and 50,000+ colleagues. We deliver innovative, award-winning services to the public and private sectors and our mission is to make people and places the best they can be.

This role sits within our Private Sector FM business division that provides catering, cleaning, hard services, pest control, and security services to a wide range of prestigious clients, within the Venues market.





About The Role:
We have an exciting opportunity for an Electrical Mobile Building Services Engineer to join our team working on key contract(s) within the London region.

You will be required to carry out general maintenance and statutory compliance checks and will be required to have basic plumbing, electrical and fabric maintenance skills, ideally with experience working in a similar facilities management environment.

The role will require client engagement and a willingness to provide the best possible solutions to meet the client's needs, so you will be required to maintain a smart appearance. You must have a good understand of both spoken and written English.

Early starts and late finishes may be required as part of this role to allow for disruptive works to be completed with minimal disruption to the client. The role also requires you to be able to think proactively arranging materials, providing information for quotations, and managing the clients' expectations

Main Duties:

• Planning, inspecting, and carrying out repairs or preventative maintenance as required and responding to breakdowns in a timely fashion.
• Carry out reactive and planned services in a range of environments from offices, commercial, distribution and industrial premises.
• Trade skills are desirable or previous experience performing In a similar role
• Carrying out statutory inspection of assets including Emergency Lighting, Water Temperature checks, Fire Door inspection and repairs, Plumbing repairs, Lighting checks including basic replacements and other minor reactive works.
• Being an ambassador for the customer; dealing professionally with complaints and queries
• support engineer sub-contractors upon attending site.
• Providing technical guidance to the client and contract support
• Carrying out minor building fabric repairs
• Ensuring all work is carried out in accordance with agreed specifications and in line with Health & Safety legislation.
• Upkeeping of site documentation

• Ideal C&G Qualified in electrical discipline
• Must be IT literate to a good standard using Microsoft Word, Excel etc
• NVQ 2 or relevant higher-level qualification in a building discipline
• Experience in a comparable role undertaking basic plumbing, carpentry, redecoration tasks and carrying out statutory ppm inspections with a good understanding of Health & Safety working practices
• Understanding of planned preventative maintenance regimes
• Experience of completing risk assessments and method statements; along with issuing permit to work for hard service tasks
• Experience using BMS system.
• Knowledge of maintenance schedules and SFG 20 would be desirable
• Ability to record work accurately on work sheets and computer-based systems
• Must hold a full UK driving license as use of company vehicle may be required

What will you get in return?

• A pension scheme- to save for the future - eligibility rules apply
• Access to high street discounts
• Access to low interest loans
• Recognition scheme 'OCS Stars'- monetary rewards given to top performers
• Training and Development- apprenticeships, e-learning, English as a Second Language and our award nominated 'Impact' Programme
• Long Service Awards
• Cycle to work scheme- discounted bicycles
• Access to our Employee Assistance Programme- 24-7 Wellbeing Support

How to Apply:
If you are interested in joining a business that encourages professional development, career progression and the chance to work with inspirational people then please click apply and register your interest! You can also sign up to our job alerts when registering which will notify you when other suitable vacancies are available.



We are an equal opportunities employer and rely on a diverse workforce with a broad range of knowledge, skills, and backgrounds to deliver our goals. We offer an inclusive and welcoming environment and actively encourage applications from all individuals regardless of race, gender, nationality, religion, sexual orientation, disability, or age.

As a Senior Project Engineer, your main responsibility is to lead, supervise, execute and coordinate project activities together with a group of Engineers, Technicians and sub-contractors leading to successful project completion. You will monitor and control projects on schedule, within budgeted cost and quality and safety standards. You will also work closely with the consultant/owner to ensure the project is delivered according to requirements. As a senior, you are also required to perform system programming and troubleshooting during project implementation.

You should possess a Diploma/Higher Nitec in Electrical and/or Electronics in any Engineering related courses, with 3-5 years’ experience in site supervision and coordination with owner, main contractors, and subcontractors, must have experience in alarm, card access and CCTV system installation knowledge. Must be computer literate and knowledge of Risk Management.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

As a Service Engineer, you have to attend to equipment fault at customers’ premises. Liaise with the customer and sub-contractors regarding all aspect on the add-on project activities. Monitor the progress of the work done closely in order to ensure that the schedule and quality of work are met. Also to ensure that all materials and equipment are delivered on time as per schedule for site installation or rectification of fault. To carry out periodic maintenance for our customers.

You should possess a Diploma in Electronics and/or Electrical Engineering with 2-3 years’ hands-on experience in troubleshooting of card access systems, alarm systems, CCTV, etc. With good interpersonal communication skills and a valid Class 3 license. Stand-by duty is required.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

The Role:

We would like to get on board a Telecommunication engineer (or similar) to work inside of the railway communication infrastructure area, to develop and deploy communication transport solutions (fixed and radio) for large international railway projects. Main tasks to be performed by the COMMS engineer:

o Analysis of project requirements and propose the solutions accordingly.

o Development of system technical specifications.

o Development of system architectures and integration with 3rd parties' systems.

o Technical interface with customers and other contractors.

o Realization of testing and commissioning works onsite.

o Network troubleshooting for wired and wireless systems both.

o Technical support to systems once into operation after commissioning.

o Onsite testing and commissioning.

The Requirements:

• Tertiary qualification in Electrical and Electronics Engineering

• Minimum 2 years experience working on various communication systems technologies such as fibre-optic transmissions, digital trunked radio, public address and telephony, CCTV surveillance, access management and travel information systems preferred

To Apply:

Please send your latest CV in word file to Ajenifer@quinnox-solutions.com

Kindly indicate your availability, current and expected remuneration package.

We regret that only shortlisted candidates will be notified.

For more job opportunities, please visit our career page: http://quinnox-solutions.com/c...

Quinnox Solutions Pte Ltd (License Number: 06C3126)

Registered EA Personnel (Reg. No.R21103082)