3 days per week on site in Sheffield Temporary to permanent Role Overview We are seeking a Senior Full Stack Engineer (AI/ML) to join a global team responsible for modernizing architecture and replacing legacy systems with microservices. This platform collects and processes data from multiple sources to meet regulatory and risk requirements, while leveraging AI/ML capabilities to enhance automation, insights, and decision making. Role Responsibilities Deliver production ready code and contribute to system architecture aligned with a microservice structure. Design and implement AI/ML driven features, including data pipelines, model integration, and inference services. Drive faster delivery of reliable code across the team, leading by example. Engage with business and engineering leadership to understand requirements and translate them into scalable AI/ML solutions. Propose innovative ideas for applying machine learning to improve data quality, risk assessment, and operational efficiency. Promote and lead a strong engineering culture within the team. Collaborate with a distributed global team across multiple regions. Identify and remove impediments, manage risks, and communicate issues to program management. Find and implement programmatic solutions to process inefficiencies. Required Skills and Experience Strong experience in software engineering, including backend development and microservice architecture. Must have strong Java experience (latest versions preferred). Proficiency in RESTful API design, CI/CD practices, and relational databases (e.g., PostgreSQL). Experience with containers and orchestration (Docker, Kubernetes) and cloud platforms. Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and deploying ML models at scale. Experience building data pipelines and integrating ML into production systems. Frontend development experience with ReactJS. Background in regulated industries (e.g., finance) is a plus. How We Work Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire. This is a full time temporary to permanent position located in Sheffield, England. As the selection and interview process is ongoing, please submit your application in English as soon as possible. If your profile is selected, a member of our team will contact you within 4 weeks. For this role a valid working permit for the UK is mandatory. Expectations regarding hybrid working As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the client's offices or our own offices depending on the client) aligns to what our client's policies and expectations are and these vary. Most of our client's now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require. Who We Are Delta Capita Group is a global managed services, consulting and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non differentiating services. Our 3 offerings are Managed Services Consulting & Solutions Technology To know more about Delta Capita and our culture, click here: Working at DC - Delta Capita.
Dec 05, 2025
Full time
3 days per week on site in Sheffield Temporary to permanent Role Overview We are seeking a Senior Full Stack Engineer (AI/ML) to join a global team responsible for modernizing architecture and replacing legacy systems with microservices. This platform collects and processes data from multiple sources to meet regulatory and risk requirements, while leveraging AI/ML capabilities to enhance automation, insights, and decision making. Role Responsibilities Deliver production ready code and contribute to system architecture aligned with a microservice structure. Design and implement AI/ML driven features, including data pipelines, model integration, and inference services. Drive faster delivery of reliable code across the team, leading by example. Engage with business and engineering leadership to understand requirements and translate them into scalable AI/ML solutions. Propose innovative ideas for applying machine learning to improve data quality, risk assessment, and operational efficiency. Promote and lead a strong engineering culture within the team. Collaborate with a distributed global team across multiple regions. Identify and remove impediments, manage risks, and communicate issues to program management. Find and implement programmatic solutions to process inefficiencies. Required Skills and Experience Strong experience in software engineering, including backend development and microservice architecture. Must have strong Java experience (latest versions preferred). Proficiency in RESTful API design, CI/CD practices, and relational databases (e.g., PostgreSQL). Experience with containers and orchestration (Docker, Kubernetes) and cloud platforms. Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and deploying ML models at scale. Experience building data pipelines and integrating ML into production systems. Frontend development experience with ReactJS. Background in regulated industries (e.g., finance) is a plus. How We Work Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire. This is a full time temporary to permanent position located in Sheffield, England. As the selection and interview process is ongoing, please submit your application in English as soon as possible. If your profile is selected, a member of our team will contact you within 4 weeks. For this role a valid working permit for the UK is mandatory. Expectations regarding hybrid working As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the client's offices or our own offices depending on the client) aligns to what our client's policies and expectations are and these vary. Most of our client's now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require. Who We Are Delta Capita Group is a global managed services, consulting and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non differentiating services. Our 3 offerings are Managed Services Consulting & Solutions Technology To know more about Delta Capita and our culture, click here: Working at DC - Delta Capita.
Senior Autonomous Systems Assurance Consultant (Autonomous Vehicles UAS Robotics AI/ML Safety Safety & Certification Engineering) Are you passionate about the safety and assurance of autonomous vehicles , uncrewed systems , robotics , and AI/ML-enabled technologies ? This is an exciting opportunity to join a growing digital safety and autonomy assurance team working at the forefront of next-generation autonomous platforms across the defence and commercial sectors. We are seeking a Senior Autonomous Systems Assurance Consultant to lead the safety, certification and assurance of advanced autonomous and machine-learning-enabled systems-ensuring they are dependable, regulatory-compliant, and ready for safe deployment. What You'll Be Doing You will take a leading role in shaping and delivering safety and assurance for complex autonomous system programmes. Typical responsibilities include: Technical Delivery Lead safety and assurance activities for autonomous, uncrewed and AI-enabled systems , applying industry frameworks such as AMLAS and emerging AI/autonomy safety guidance . Conduct system safety analysis for autonomous platforms, including HAZID , Functional Hazard Assessment (FHA) , and STPA . Assess risks related to machine learning , sensor fusion , automated decision-making , and novel autonomy architectures. Develop structured, evidence-based Safety Cases (including GSN ) for autonomous and remotely-operated systems. Capability Development Shape the ongoing development of our autonomous systems safety capability , influencing tools, methods and strategic direction. Mentor consultants in autonomy safety techniques and best practice. Business Development Support autonomy-focused business development, bid writing and client engagement. Act as Bid Manager or technical contributor for autonomy and AI-related proposals. Build lasting client relationships and represent the company at industry events, conferences and technical forums. Project Oversight Oversee delivery of autonomy assurance projects-ensuring quality, timeliness and budget control. Provide technical review, approval, and oversight of key deliverables. Support project managers in risk identification and mitigation. Travel may be required to customer facilities or partner sites in the UK and occasionally overseas. What We're Looking For Essential Relevant engineering or safety qualification; membership of a professional institution is beneficial. Proven experience in autonomous systems , uncrewed platforms , robotics , AI/ML-enabled systems , or autonomous vehicle safety assurance , ideally within defence or similar high-integrity domains. Experience delivering: Safety assurance for autonomous or AI-enabled systems Safety Case Reports and GSN Hazard analysis and recognised safety/assurance techniques Compliance with autonomy, AI or system safety standards/guidance Experience in one or more of the Air, Land, Maritime, Nuclear or Robotics domains. Desirable Experience supporting business development activities or bid writing. Experience presenting technical papers or speaking at industry conferences. (Training can be provided for the right candidate.) Security Due to the nature of the work, candidates must be eligible for UK Security Clearance . What You'll Receive Competitive salary and annual bonus (post-qualifying period). Friendly, supportive and collaborative team culture. Professional membership fees covered. Extensive technical and consultancy training. Flexible and hybrid working options. 25 days holiday plus bank holidays, with options to buy/sell leave. Company pension scheme. Optional private medical insurance (post-probation). Life insurance. Cycle-to-work scheme. Roles can be based at any of our UK offices with flexibility for hybrid working. Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Dec 05, 2025
Full time
Senior Autonomous Systems Assurance Consultant (Autonomous Vehicles UAS Robotics AI/ML Safety Safety & Certification Engineering) Are you passionate about the safety and assurance of autonomous vehicles , uncrewed systems , robotics , and AI/ML-enabled technologies ? This is an exciting opportunity to join a growing digital safety and autonomy assurance team working at the forefront of next-generation autonomous platforms across the defence and commercial sectors. We are seeking a Senior Autonomous Systems Assurance Consultant to lead the safety, certification and assurance of advanced autonomous and machine-learning-enabled systems-ensuring they are dependable, regulatory-compliant, and ready for safe deployment. What You'll Be Doing You will take a leading role in shaping and delivering safety and assurance for complex autonomous system programmes. Typical responsibilities include: Technical Delivery Lead safety and assurance activities for autonomous, uncrewed and AI-enabled systems , applying industry frameworks such as AMLAS and emerging AI/autonomy safety guidance . Conduct system safety analysis for autonomous platforms, including HAZID , Functional Hazard Assessment (FHA) , and STPA . Assess risks related to machine learning , sensor fusion , automated decision-making , and novel autonomy architectures. Develop structured, evidence-based Safety Cases (including GSN ) for autonomous and remotely-operated systems. Capability Development Shape the ongoing development of our autonomous systems safety capability , influencing tools, methods and strategic direction. Mentor consultants in autonomy safety techniques and best practice. Business Development Support autonomy-focused business development, bid writing and client engagement. Act as Bid Manager or technical contributor for autonomy and AI-related proposals. Build lasting client relationships and represent the company at industry events, conferences and technical forums. Project Oversight Oversee delivery of autonomy assurance projects-ensuring quality, timeliness and budget control. Provide technical review, approval, and oversight of key deliverables. Support project managers in risk identification and mitigation. Travel may be required to customer facilities or partner sites in the UK and occasionally overseas. What We're Looking For Essential Relevant engineering or safety qualification; membership of a professional institution is beneficial. Proven experience in autonomous systems , uncrewed platforms , robotics , AI/ML-enabled systems , or autonomous vehicle safety assurance , ideally within defence or similar high-integrity domains. Experience delivering: Safety assurance for autonomous or AI-enabled systems Safety Case Reports and GSN Hazard analysis and recognised safety/assurance techniques Compliance with autonomy, AI or system safety standards/guidance Experience in one or more of the Air, Land, Maritime, Nuclear or Robotics domains. Desirable Experience supporting business development activities or bid writing. Experience presenting technical papers or speaking at industry conferences. (Training can be provided for the right candidate.) Security Due to the nature of the work, candidates must be eligible for UK Security Clearance . What You'll Receive Competitive salary and annual bonus (post-qualifying period). Friendly, supportive and collaborative team culture. Professional membership fees covered. Extensive technical and consultancy training. Flexible and hybrid working options. 25 days holiday plus bank holidays, with options to buy/sell leave. Company pension scheme. Optional private medical insurance (post-probation). Life insurance. Cycle-to-work scheme. Roles can be based at any of our UK offices with flexibility for hybrid working. Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Experience with data science & machine learning language models is a plus SailPoint is a leading provider of identity security for the modern enterprise. Enterprise security starts and ends with identities and their access, yet the ability to manage and secure identities today has moved well beyond human capacity. Using a foundation of artificial intelligence and machine learning, the SailPoint Identity Security Platform delivers the right level of access to the right identities and resources at the right time-matching the scale, velocity, and environmental needs of today's cloud-oriented enterprise. Our intelligent, autonomous, and integrated solutions put identity security at the core of digital business operations, enabling even the most complex organizations across the globe to build a security foundation capable of defending against today's most pressing threats.The employment policy of SailPoint is to provide equal opportunity to all persons, and it is SailPoint's policy to take affirmative action to employ and advance in employment protected veterans and individuals with disabilities.It is SailPoint's policy to recruit, hire, train and promote qualified individuals in all job titles, and ensure that all other personnel actions are administered without regard to race, color, religion, national origin, sex, military and/or veteran status, disability, or other legally protected status, and we will ensure that all employment decisions are based only on valid job requirements. SailPoint does not discriminate on the basis of national origin or citizenship status as provided under the Immigration Reform and Control Act of 1986.Employees and applicants shall not be subjected to harassment, intimidation, threats, coercion, or discrimination because they have engaged in or may engage in any of the following activities: Filing a complaint; Assisting or participating in an investigation, compliance evaluation, hearing, or any other activity related to the administration of the affirmative action provisions of Section 503, VEVRAA, or any other Federal, State or local law requiring equal opportunity for individuals with disabilities or protected veterans; Opposing any act or practice made unlawful by Section 503, VEVRAA, or their implementing regulations in this part, or any other Federal, State or local law requiring equal opportunity for individuals with disabilities or protected veterans; or Exercising any other right protected by section 503, VEVRAA or their implementing regulations.SailPoint will also provide reasonable accommodation to known physical or mental limitations of an otherwise qualified employee or applicant for employment, unless the accommodation would impose undue hardship on the operation of our business.SailPoint's affirmative action program contains an audit and reporting system which enables us to measure the effectiveness of our program, indicate any need for remedial action, determine the degree to which our objectives have been attained, determine whether protected veterans and individuals with disabilities had had the opportunity to participate in company-sponsored activities, measure our compliance with the program's specific obligations, and document actions taken to comply with these obligations.
Dec 05, 2025
Full time
Experience with data science & machine learning language models is a plus SailPoint is a leading provider of identity security for the modern enterprise. Enterprise security starts and ends with identities and their access, yet the ability to manage and secure identities today has moved well beyond human capacity. Using a foundation of artificial intelligence and machine learning, the SailPoint Identity Security Platform delivers the right level of access to the right identities and resources at the right time-matching the scale, velocity, and environmental needs of today's cloud-oriented enterprise. Our intelligent, autonomous, and integrated solutions put identity security at the core of digital business operations, enabling even the most complex organizations across the globe to build a security foundation capable of defending against today's most pressing threats.The employment policy of SailPoint is to provide equal opportunity to all persons, and it is SailPoint's policy to take affirmative action to employ and advance in employment protected veterans and individuals with disabilities.It is SailPoint's policy to recruit, hire, train and promote qualified individuals in all job titles, and ensure that all other personnel actions are administered without regard to race, color, religion, national origin, sex, military and/or veteran status, disability, or other legally protected status, and we will ensure that all employment decisions are based only on valid job requirements. SailPoint does not discriminate on the basis of national origin or citizenship status as provided under the Immigration Reform and Control Act of 1986.Employees and applicants shall not be subjected to harassment, intimidation, threats, coercion, or discrimination because they have engaged in or may engage in any of the following activities: Filing a complaint; Assisting or participating in an investigation, compliance evaluation, hearing, or any other activity related to the administration of the affirmative action provisions of Section 503, VEVRAA, or any other Federal, State or local law requiring equal opportunity for individuals with disabilities or protected veterans; Opposing any act or practice made unlawful by Section 503, VEVRAA, or their implementing regulations in this part, or any other Federal, State or local law requiring equal opportunity for individuals with disabilities or protected veterans; or Exercising any other right protected by section 503, VEVRAA or their implementing regulations.SailPoint will also provide reasonable accommodation to known physical or mental limitations of an otherwise qualified employee or applicant for employment, unless the accommodation would impose undue hardship on the operation of our business.SailPoint's affirmative action program contains an audit and reporting system which enables us to measure the effectiveness of our program, indicate any need for remedial action, determine the degree to which our objectives have been attained, determine whether protected veterans and individuals with disabilities had had the opportunity to participate in company-sponsored activities, measure our compliance with the program's specific obligations, and document actions taken to comply with these obligations.
Job Overview This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the Arm Systems Media IP team! The team is responsible for the development of Image Signal Processors (ISPs), Display Processors, and Video codecs for deploying within Arm Compute Subsystems for various end markets, including automotive, IoT, and client market segments. Our intellectual property encompasses RTL, reference drivers, tools, and libraries, enabling our customers to build upon our work to create innovative products! You will specify and develop new hardware verification testbenches for future generation hardware IP. You will improve existing testbenches to increase performance, quality and efficiency. You will also identify areas for improvement in processes and methodologies, then implement those changes to advance our best-practices for hardware verification. This is a new team with plenty of opportunities to shape its future, and your own growth and career progression. Responsibilities Depending on prior experience, the responsibilities of the role can include: Verification ownership of unit level or multi-unit hierarchy or alternatively verification lead of an overall IP (ISP, Display, Video). Architecting verification IP and full verification environments. Reviewing and assessing proposed design changes from a verification complexity point of view. Analysis of data from simulation runs using machine learning and data science techniques to drive efficient bug discovery and debug. Identify cross Media IP process or methodology improvement opportunities, implementing changes to advance hardware verification efficiency. Close collaboration with other Arm engineering teams leading to high quality IP that works well in a complete system. Mentor & support other members of the team. Required skills and experience: Experience in working with constrained-random verification including ownership of a suitably complex verification environment and creating testbenches. Experience developing reusable and scalable code whilst having in depth knowledge of SV UVM. Strong scripting skills - being able to develop scripts to support new and existing flows. Solid software engineering skills including understanding of object oriented programming, data structures, and algorithms. Familiar with the tools and processes for developing testbenches and finishing all aspects of the verification process. Prior technical and/or team leadership skills required for more senior positions. 'Nice to Have' skills and Experience: Team leadership and mentoring experience. Multiprocessing microarchitecture experience including knowledge of bus protocols (e.g. AMBA APB/AHB/AXI). Past experience in Formal Verification testbenches. Experience in video codec, ISP, or display projects, including knowledge of advanced image processing algorithms, such as local tone mapping, noise reduction, motion estimation, transform coding, etc. Experience of Functional Safety product development for the Automotive market (applying standards such as ISO 26262 and/or IEC 61508). Experience with Continuous Integration flows. In Return: You will get to utilise your engineering skills to build support for the technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider audience, while building your technical leadership and influencing skills. Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Dec 05, 2025
Full time
Job Overview This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the Arm Systems Media IP team! The team is responsible for the development of Image Signal Processors (ISPs), Display Processors, and Video codecs for deploying within Arm Compute Subsystems for various end markets, including automotive, IoT, and client market segments. Our intellectual property encompasses RTL, reference drivers, tools, and libraries, enabling our customers to build upon our work to create innovative products! You will specify and develop new hardware verification testbenches for future generation hardware IP. You will improve existing testbenches to increase performance, quality and efficiency. You will also identify areas for improvement in processes and methodologies, then implement those changes to advance our best-practices for hardware verification. This is a new team with plenty of opportunities to shape its future, and your own growth and career progression. Responsibilities Depending on prior experience, the responsibilities of the role can include: Verification ownership of unit level or multi-unit hierarchy or alternatively verification lead of an overall IP (ISP, Display, Video). Architecting verification IP and full verification environments. Reviewing and assessing proposed design changes from a verification complexity point of view. Analysis of data from simulation runs using machine learning and data science techniques to drive efficient bug discovery and debug. Identify cross Media IP process or methodology improvement opportunities, implementing changes to advance hardware verification efficiency. Close collaboration with other Arm engineering teams leading to high quality IP that works well in a complete system. Mentor & support other members of the team. Required skills and experience: Experience in working with constrained-random verification including ownership of a suitably complex verification environment and creating testbenches. Experience developing reusable and scalable code whilst having in depth knowledge of SV UVM. Strong scripting skills - being able to develop scripts to support new and existing flows. Solid software engineering skills including understanding of object oriented programming, data structures, and algorithms. Familiar with the tools and processes for developing testbenches and finishing all aspects of the verification process. Prior technical and/or team leadership skills required for more senior positions. 'Nice to Have' skills and Experience: Team leadership and mentoring experience. Multiprocessing microarchitecture experience including knowledge of bus protocols (e.g. AMBA APB/AHB/AXI). Past experience in Formal Verification testbenches. Experience in video codec, ISP, or display projects, including knowledge of advanced image processing algorithms, such as local tone mapping, noise reduction, motion estimation, transform coding, etc. Experience of Functional Safety product development for the Automotive market (applying standards such as ISO 26262 and/or IEC 61508). Experience with Continuous Integration flows. In Return: You will get to utilise your engineering skills to build support for the technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider audience, while building your technical leadership and influencing skills. Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Specialist - Machine Learning & Generative AI Position Description At CGI, we're shaping the future through intelligent innovation. As an AI Specialist, you'll help clients unlock the transformative power of AI, designing and delivering solutions that drive efficiency, spark creativity, and deliver measurable business outcomes. You'll work at the forefront of Machine Learning, Generative AI, and Advanced Analytics, helping organisations reimagine their operations and make smarter, faster decisions. This is your opportunity to contribute to industry-defining projects, influence the direction of our growing AI Practice, and be part of a collaborative environment that empowers you to take ownership, innovate with purpose, and grow your expertise in a supportive community. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Find out more about our AI story here: Your future duties and responsibilities In this role, you will design and deliver innovative AI solutions that solve complex business challenges across multiple industries. Working closely with clients and CGI teams, you will lead the end-to-end development of AI systems, from opportunity identification to deployment, ensuring every solution is secure, scalable, and impactful. You'll translate ideas into outcomes, guiding AI adoption responsibly while driving measurable results for our clients. You'll also play a key role in advancing CGI's AI Practice by sharing best practices, mentoring colleagues, and helping shape our evolving AI strategy. You will thrive in an environment that encourages experimentation, collaboration, and continuous learning, where your creativity and curiosity directly contribute to CGI's success and client value. Key responsibilities: • Lead & Innovate: Collaborate with clients to assess needs, identify AI opportunities, and define clear solution requirements. • Develop & Deliver: Design and implement AI models using Machine Learning, NLP, Generative AI, and Advanced Analytics. • Strategise & Execute: Build AI roadmaps aligned with client goals and emerging technology trends. • Optimise & Automate: Oversee AI solution deployment, ensuring performance, scalability, and compliance. • Collaborate & Mentor: Support knowledge sharing, guide junior colleagues, and promote responsible AI adoption. • Evolve & Enhance: Stay ahead of emerging AI tools and methodologies to continually refine delivery excellence. Required qualifications to be successful in this role You will bring a strong technical foundation in AI and a track record of delivering impactful AI solutions. A passion for innovation, curiosity about emerging technologies, and the ability to communicate complex concepts clearly are essential. You should have: • Proven experience delivering AI solutions in commercial environments. • Expertise in Machine Learning, Generative AI, NLP, and Advanced Analytics. • Proficiency in Python and AI frameworks (e.g., TensorFlow, PyTorch, LangChain). • Knowledge of data engineering and MLOps practices. • Familiarity with cloud platforms (AWS, Azure, or GCP). • Strong problem-solving, analytical, and communication skills. • Ability to collaborate effectively in multidisciplinary teams. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Dec 05, 2025
Full time
AI Specialist - Machine Learning & Generative AI Position Description At CGI, we're shaping the future through intelligent innovation. As an AI Specialist, you'll help clients unlock the transformative power of AI, designing and delivering solutions that drive efficiency, spark creativity, and deliver measurable business outcomes. You'll work at the forefront of Machine Learning, Generative AI, and Advanced Analytics, helping organisations reimagine their operations and make smarter, faster decisions. This is your opportunity to contribute to industry-defining projects, influence the direction of our growing AI Practice, and be part of a collaborative environment that empowers you to take ownership, innovate with purpose, and grow your expertise in a supportive community. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Find out more about our AI story here: Your future duties and responsibilities In this role, you will design and deliver innovative AI solutions that solve complex business challenges across multiple industries. Working closely with clients and CGI teams, you will lead the end-to-end development of AI systems, from opportunity identification to deployment, ensuring every solution is secure, scalable, and impactful. You'll translate ideas into outcomes, guiding AI adoption responsibly while driving measurable results for our clients. You'll also play a key role in advancing CGI's AI Practice by sharing best practices, mentoring colleagues, and helping shape our evolving AI strategy. You will thrive in an environment that encourages experimentation, collaboration, and continuous learning, where your creativity and curiosity directly contribute to CGI's success and client value. Key responsibilities: • Lead & Innovate: Collaborate with clients to assess needs, identify AI opportunities, and define clear solution requirements. • Develop & Deliver: Design and implement AI models using Machine Learning, NLP, Generative AI, and Advanced Analytics. • Strategise & Execute: Build AI roadmaps aligned with client goals and emerging technology trends. • Optimise & Automate: Oversee AI solution deployment, ensuring performance, scalability, and compliance. • Collaborate & Mentor: Support knowledge sharing, guide junior colleagues, and promote responsible AI adoption. • Evolve & Enhance: Stay ahead of emerging AI tools and methodologies to continually refine delivery excellence. Required qualifications to be successful in this role You will bring a strong technical foundation in AI and a track record of delivering impactful AI solutions. A passion for innovation, curiosity about emerging technologies, and the ability to communicate complex concepts clearly are essential. You should have: • Proven experience delivering AI solutions in commercial environments. • Expertise in Machine Learning, Generative AI, NLP, and Advanced Analytics. • Proficiency in Python and AI frameworks (e.g., TensorFlow, PyTorch, LangChain). • Knowledge of data engineering and MLOps practices. • Familiarity with cloud platforms (AWS, Azure, or GCP). • Strong problem-solving, analytical, and communication skills. • Ability to collaborate effectively in multidisciplinary teams. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Under broad direction, assists with design, research, and development of new applications and major enhancements. Provides guidance to developers, testers, and support staff. Using an understanding of the technological advances in both the software industry and in the oil and gas industry this person will challenge the technical software delivery process to deliver fit for purpose software in a more timely manner. This person will have had experience in leading software development projects and may provide Technical Excellence Leadership for more than one team, providing expert guidance to software developers and support staff. Provides guidance to staff on application security standards, secure coding practices, and secure architecture designs. Provides a strong technical focus in product planning for a complete software system. Requires completion of an undergraduate degree in Computer Science or similar discipline, and a minimum of 10 years of experience including software development experience. Key Responsibilities: Lead the team to deliver new products, features and fixes iteratively using an Agile Scrum approach working with the Product Owner, Scrum Master, Developers and QAs Working with the architects and other developers, provide technical input to the Product Owner. Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members This is a hands-on role and will be expected to take an active part in development work Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Working and collaborating with remote teams around the world Qualifications & Experience Essential Attributes: 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice 10+ years of Java and C++ development experience History of applying best practices, code reviews and quality checks Familiarity with build pipeline tools and technologies such as Gitlab Must be self-motivated but needs to work well in a team environment Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Team Lead experience working with Agile Delivery teams Interest in leadership or leading a small team of software developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum certification Experienced in working with remote teams Advanced awareness and understanding of AI technologies/tools Familiarity and understanding of modern cloud technologies and microservices Additional information: Must be in or around Abingdon, UK. Position is for a Hybrid work schedule Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 201985 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 05, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Under broad direction, assists with design, research, and development of new applications and major enhancements. Provides guidance to developers, testers, and support staff. Using an understanding of the technological advances in both the software industry and in the oil and gas industry this person will challenge the technical software delivery process to deliver fit for purpose software in a more timely manner. This person will have had experience in leading software development projects and may provide Technical Excellence Leadership for more than one team, providing expert guidance to software developers and support staff. Provides guidance to staff on application security standards, secure coding practices, and secure architecture designs. Provides a strong technical focus in product planning for a complete software system. Requires completion of an undergraduate degree in Computer Science or similar discipline, and a minimum of 10 years of experience including software development experience. Key Responsibilities: Lead the team to deliver new products, features and fixes iteratively using an Agile Scrum approach working with the Product Owner, Scrum Master, Developers and QAs Working with the architects and other developers, provide technical input to the Product Owner. Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members This is a hands-on role and will be expected to take an active part in development work Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Working and collaborating with remote teams around the world Qualifications & Experience Essential Attributes: 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice 10+ years of Java and C++ development experience History of applying best practices, code reviews and quality checks Familiarity with build pipeline tools and technologies such as Gitlab Must be self-motivated but needs to work well in a team environment Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Team Lead experience working with Agile Delivery teams Interest in leadership or leading a small team of software developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum certification Experienced in working with remote teams Advanced awareness and understanding of AI technologies/tools Familiarity and understanding of modern cloud technologies and microservices Additional information: Must be in or around Abingdon, UK. Position is for a Hybrid work schedule Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 201985 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Under general supervision, designs, codes, tests, trouble-shoots and documents engineering systems applications. The developer will be expected to have experience of common tools and processes used to design, code, test, trouble-shoot, document engineering systems applications. Develops test strategies used in the automated regression testing of these systems. Follows secure coding practices, performs triaging of security issues, and implements fixes to deliver secure applications. Familiar with common software vulnerabilities and leading practices to mitigate. Should have some experience in researching open- source technologies for use in building systems and participate in open source communities as needed. Works on projects of moderate scope and complexity. Pro-actively identifies areas for improvement within the software system and processes. Develops assignments and schedules. Requires completion of an undergraduate degree in Computer Science or similar discipline, and 4 years of related experience. Key Responsibilities: Work on a team to deliver new products, features and fixes iteratively using an Agile Scrum approach working with the Team Lead, Product Owner, Scrum Master, Developers and QAs Working with the architects and other developers, provide technical input to the Product Owner. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members This is a hands-on role and will be expected to take an active part in development work Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Working and collaborating with remote teams around the world Qualifications & Experience Essential Attributes: 4+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice 4+ years of Java and C++ development experience History of applying best practices, code reviews and quality checks Familiarity with build pipeline tools and technologies such as Gitlab Must be self-motivated but needs to work well in a team environment Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum certification Experienced in working with remote teams Advanced awareness and understanding of AI technologies/tools Familiarity and understanding of modern cloud technologies and microservices Additional information: Must be in or around Abingdon, UK. Position is for a Hybrid work schedule Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 201981 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 05, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Under general supervision, designs, codes, tests, trouble-shoots and documents engineering systems applications. The developer will be expected to have experience of common tools and processes used to design, code, test, trouble-shoot, document engineering systems applications. Develops test strategies used in the automated regression testing of these systems. Follows secure coding practices, performs triaging of security issues, and implements fixes to deliver secure applications. Familiar with common software vulnerabilities and leading practices to mitigate. Should have some experience in researching open- source technologies for use in building systems and participate in open source communities as needed. Works on projects of moderate scope and complexity. Pro-actively identifies areas for improvement within the software system and processes. Develops assignments and schedules. Requires completion of an undergraduate degree in Computer Science or similar discipline, and 4 years of related experience. Key Responsibilities: Work on a team to deliver new products, features and fixes iteratively using an Agile Scrum approach working with the Team Lead, Product Owner, Scrum Master, Developers and QAs Working with the architects and other developers, provide technical input to the Product Owner. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members This is a hands-on role and will be expected to take an active part in development work Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Working and collaborating with remote teams around the world Qualifications & Experience Essential Attributes: 4+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice 4+ years of Java and C++ development experience History of applying best practices, code reviews and quality checks Familiarity with build pipeline tools and technologies such as Gitlab Must be self-motivated but needs to work well in a team environment Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum certification Experienced in working with remote teams Advanced awareness and understanding of AI technologies/tools Familiarity and understanding of modern cloud technologies and microservices Additional information: Must be in or around Abingdon, UK. Position is for a Hybrid work schedule Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 201981 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Machine Learning Geoscientist Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under general supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) and postgraduate qualification in geoscience. Minimum of 4 years related work experience, or completion of a PhD. In-depth understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204376 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 05, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Machine Learning Geoscientist Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under general supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) and postgraduate qualification in geoscience. Minimum of 4 years related work experience, or completion of a PhD. In-depth understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204376 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
A leading technology organization in London seeks a Staff Research Engineer to lead an applied ML team. You will guide research, mentor team members, and collaborate on innovative technologies like generative AI. The ideal candidate has extensive experience in applied machine learning and proven leadership abilities. This role offers a chance to work on transformative AI solutions that impact products widely used across Google services. Commitment to equal employment opportunity is fundamental to the organization.
Dec 05, 2025
Full time
A leading technology organization in London seeks a Staff Research Engineer to lead an applied ML team. You will guide research, mentor team members, and collaborate on innovative technologies like generative AI. The ideal candidate has extensive experience in applied machine learning and proven leadership abilities. This role offers a chance to work on transformative AI solutions that impact products widely used across Google services. Commitment to equal employment opportunity is fundamental to the organization.
Huawei Technologies Research & Development (UK) Ltd
A global technology company is seeking a skilled Machine Learning Scientist for the Reinforcement Learning Team in London. This role focuses on advanced AI research, including reinforcement learning and Bayesian optimisation, leading to impactful applications. Candidates should have a strong publication record and proficiency in Python, along with experience in working with major ML frameworks. You will collaborate with a multidisciplinary team and mentor junior researchers while driving high-impact AI research endeavors.
Dec 05, 2025
Full time
A global technology company is seeking a skilled Machine Learning Scientist for the Reinforcement Learning Team in London. This role focuses on advanced AI research, including reinforcement learning and Bayesian optimisation, leading to impactful applications. Candidates should have a strong publication record and proficiency in Python, along with experience in working with major ML frameworks. You will collaborate with a multidisciplinary team and mentor junior researchers while driving high-impact AI research endeavors.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) geoscience. 2 - 5 years relevant industry experience Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204383 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 05, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) geoscience. 2 - 5 years relevant industry experience Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204383 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
Dec 05, 2025
Full time
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 05, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in applied machine learning, including leading projects from research to production. Experience building and leading engineering or research teams. Experience in Python and ML frameworks like JAX, TensorFlow, or PyTorch. One or more publications in top-tier ML/AI conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR). Preferred qualifications: Master's degree in Computer Science, a related technical field, or equivalent practical experience. About the job The Domain Applied ML (DAML) team is a group within Core ML. Our mission is to accelerate the adoption of AI across Google. We partner with Google Research and DeepMind to translate their breakthroughs (like Gemini) into standardized, efficient solutions. By addressing issues from 0-to-1 prototyping to 1-to-10 scaling, we allow Google's product areas to innovations with massive quality, performance, and productivity gains. As a Staff Research Engineer, you will lead a new applied ML team in London, bridging the gap between research from Google Research and DeepMind and its real-world application. You will act as the team's technical anchor, guiding a small group of researchers while dedicating significant time to your own experimentation and coding. Your work will focus on emerging areas like generative AI and multi-agent systems to deliver measurable impact on products like Search, YouTube, and Waymo. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Responsibilities Act as the technical expert for a small team. Guide research directions and mentor team members through your own direct contributions. Lead the end-to-end research process, from defining novel problems and prototyping solutions to publishing results and partnering with product teams to ship features. Shape and execute the team's technical roadmap by collaborating with stakeholders in Google Research, DeepMind, and product areas to identify and pursue opportunities. Utilize and advance techniques on Google's infrastructure. Your work will involve Python, JAX/TensorFlow, and focus on areas like Parameter-Efficient Tuning (PET), multimodal modeling, and agentic systems using models like Gemini. Research and product by translating technical concepts into actionable plans and user value, while advocating research excellence through publications in conferences and open-source contributions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Dec 05, 2025
Full time
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in applied machine learning, including leading projects from research to production. Experience building and leading engineering or research teams. Experience in Python and ML frameworks like JAX, TensorFlow, or PyTorch. One or more publications in top-tier ML/AI conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR). Preferred qualifications: Master's degree in Computer Science, a related technical field, or equivalent practical experience. About the job The Domain Applied ML (DAML) team is a group within Core ML. Our mission is to accelerate the adoption of AI across Google. We partner with Google Research and DeepMind to translate their breakthroughs (like Gemini) into standardized, efficient solutions. By addressing issues from 0-to-1 prototyping to 1-to-10 scaling, we allow Google's product areas to innovations with massive quality, performance, and productivity gains. As a Staff Research Engineer, you will lead a new applied ML team in London, bridging the gap between research from Google Research and DeepMind and its real-world application. You will act as the team's technical anchor, guiding a small group of researchers while dedicating significant time to your own experimentation and coding. Your work will focus on emerging areas like generative AI and multi-agent systems to deliver measurable impact on products like Search, YouTube, and Waymo. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Responsibilities Act as the technical expert for a small team. Guide research directions and mentor team members through your own direct contributions. Lead the end-to-end research process, from defining novel problems and prototyping solutions to publishing results and partnering with product teams to ship features. Shape and execute the team's technical roadmap by collaborating with stakeholders in Google Research, DeepMind, and product areas to identify and pursue opportunities. Utilize and advance techniques on Google's infrastructure. Your work will involve Python, JAX/TensorFlow, and focus on areas like Parameter-Efficient Tuning (PET), multimodal modeling, and agentic systems using models like Gemini. Research and product by translating technical concepts into actionable plans and user value, while advocating research excellence through publications in conferences and open-source contributions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Imperial College London
City Of Westminster, London
Assistant Professor/Associate Professor in Computing London £70,718 - £80,148 per annum Ref: ENG03709 Imperial College London, seeks 4 Assistant Professors / Associate Professors to join the Department of Computing within the Faculty of Engineering. About the role The Department of Computing at Imperial is a leading department in Computer Science. Ranked 1st in the UK in the last Research Excellence Framework (REF 2021), the department stands at the forefront of excellence in research and impactful innovation, fostering breakthroughs that shape the future of the field. To support this vision, the Department wishes to appoint up to 4 Assistant Professors in 2026 across key high-impact areas that will strengthen its existing research portfolio and help build up new research capacity of strategic interest. Appointments at the Associate Professor level are possible for suitably qualified candidates. We seek strong applications in the following broad areas: Programming Languages, including language design and implementation, program analysis and verification, compilers and runtime systems, type systems, domain-specific languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning systems, networking, storage, cloud and edge computing, data systems, real-time systems, and high-performance computing. Security, including cryptography and post-quantum security, usable security and human factors, security for AI and AI for security, blockchain and distributed ledger technologies, systems and network security, software and malware security, privacy. Software Engineering, including AI-assisted software development, software architecture and design, formal methods, testing, empirical software engineering, human factors, and software evolution. Computer Architecture, including neuromorphic computing, processor and memory system design, new computer architectures for efficiency and scalability, parallel and multi-core systems, domain-specific accelerators (e.g., for AI, graphics and vision), and quantum computing hardware. Theoretical Computer Science, including algorithms and data structures, complexity theory, cryptography and information theory, quantum algorithms, and theory of quantum computation. While these areas are of strategic importance to the Department, we will consider truly outstanding candidates in all areas of Computing. What you would be doing You should be motivated to join a collaborative and vibrant research environment, with a strong enthusiasm for pursuing cutting-edge research by leading or contributing to a research area at the highest level of scientific rigour, fostering scientific collaborations within the Department and across the Faculty and College, and securing grant funding to lead your research vision. A large part of this role will be teaching and inspiring our exceptional and dedicated undergraduate and postgraduate students, through lectures, tutorials and project supervision. You will be surrounded by a supportive community, dedicated to make meaningful impact. What we are looking for To be successful in this role you will have: A PhD in Computer Science or related field or equivalent. A developing national reputation and expertise in the field of Computer Science Evidence of contribution to the development and performance of colleagues through coaching and mentoring Experience of preparing grant applications for submission Ability to communicate well, conveying ideas and concepts clearly and effectively Ability to develop skills in leading, motivating, developing and managing the performance of colleagues Good leadership skills A willingness to undertake any necessary training and development activities for the role A commitment to high quality teaching and fostering a positive learning environment for students What we can offer you The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow in your career with tailored training programmes for academic staff including mentoring and dedicated support with navigating your career and managing research as well as a transparent promotion process. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes) Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing. Please see Further Particulars for more information about Imperial and the benefits available to staff. For an informal discussion please contact the Director of Research, Professor Alastair Donaldson () Should you have any queries about the application process please contact Marina Hall () If you encounter any technical issues while applying online, please don't hesitate to email us at Closing date: 15 December 2025. NLOV4CQ&LG=UK&languageSelect=UK&mask=ext
Dec 05, 2025
Full time
Assistant Professor/Associate Professor in Computing London £70,718 - £80,148 per annum Ref: ENG03709 Imperial College London, seeks 4 Assistant Professors / Associate Professors to join the Department of Computing within the Faculty of Engineering. About the role The Department of Computing at Imperial is a leading department in Computer Science. Ranked 1st in the UK in the last Research Excellence Framework (REF 2021), the department stands at the forefront of excellence in research and impactful innovation, fostering breakthroughs that shape the future of the field. To support this vision, the Department wishes to appoint up to 4 Assistant Professors in 2026 across key high-impact areas that will strengthen its existing research portfolio and help build up new research capacity of strategic interest. Appointments at the Associate Professor level are possible for suitably qualified candidates. We seek strong applications in the following broad areas: Programming Languages, including language design and implementation, program analysis and verification, compilers and runtime systems, type systems, domain-specific languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning systems, networking, storage, cloud and edge computing, data systems, real-time systems, and high-performance computing. Security, including cryptography and post-quantum security, usable security and human factors, security for AI and AI for security, blockchain and distributed ledger technologies, systems and network security, software and malware security, privacy. Software Engineering, including AI-assisted software development, software architecture and design, formal methods, testing, empirical software engineering, human factors, and software evolution. Computer Architecture, including neuromorphic computing, processor and memory system design, new computer architectures for efficiency and scalability, parallel and multi-core systems, domain-specific accelerators (e.g., for AI, graphics and vision), and quantum computing hardware. Theoretical Computer Science, including algorithms and data structures, complexity theory, cryptography and information theory, quantum algorithms, and theory of quantum computation. While these areas are of strategic importance to the Department, we will consider truly outstanding candidates in all areas of Computing. What you would be doing You should be motivated to join a collaborative and vibrant research environment, with a strong enthusiasm for pursuing cutting-edge research by leading or contributing to a research area at the highest level of scientific rigour, fostering scientific collaborations within the Department and across the Faculty and College, and securing grant funding to lead your research vision. A large part of this role will be teaching and inspiring our exceptional and dedicated undergraduate and postgraduate students, through lectures, tutorials and project supervision. You will be surrounded by a supportive community, dedicated to make meaningful impact. What we are looking for To be successful in this role you will have: A PhD in Computer Science or related field or equivalent. A developing national reputation and expertise in the field of Computer Science Evidence of contribution to the development and performance of colleagues through coaching and mentoring Experience of preparing grant applications for submission Ability to communicate well, conveying ideas and concepts clearly and effectively Ability to develop skills in leading, motivating, developing and managing the performance of colleagues Good leadership skills A willingness to undertake any necessary training and development activities for the role A commitment to high quality teaching and fostering a positive learning environment for students What we can offer you The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow in your career with tailored training programmes for academic staff including mentoring and dedicated support with navigating your career and managing research as well as a transparent promotion process. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes) Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing. Please see Further Particulars for more information about Imperial and the benefits available to staff. For an informal discussion please contact the Director of Research, Professor Alastair Donaldson () Should you have any queries about the application process please contact Marina Hall () If you encounter any technical issues while applying online, please don't hesitate to email us at Closing date: 15 December 2025. NLOV4CQ&LG=UK&languageSelect=UK&mask=ext
Administrator (Hire Desk Controller) Stowmarket - onsite Permanent Up to £26k + Flexible Benefits Freedom Group have a fantastic opportunity for a Administrator (Hire Desk Controller) to join our team based in Stowmarket. This is a key role responsible for coordinating traffic management, plant, tool, and machinery hire to internal customers, ensuring smooth operational delivery through effective supply chain collaboration. Some of the key deliverables in this role will include: Managing daily plant and equipment hire requirements for operational teams Processing traffic management bookings and requirements. Raising and processing orders through to completion. Proactively managing equipment breakdowns and replacements. Developing strong working relationships with internal customers. Maintaining the Hire Desk diary and ensuring accurate scheduling. Liaising with supply chain partners to obtain quotes and confirm bookings. Working closely with the Finance Administrator in Wakefield to ensure invoice accuracy. Developing and maintaining knowledge of depot equipment for hire/sale, including safety and test requirements. What we're looking for: We're looking for a proactive and organised individual with strong communication skills and a positive, team-oriented attitude. Ideally, you'll have: Experience and knowledge of construction plant hire (desirable). Proficiency in Microsoft Office packages. Strong organisational skills and attention to detail. Effective communication and interpersonal skills. A commitment to learning and continuous improvement. A positive, can-do attitude and the ability to work well as part of a team. Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Salary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes Personal development programme Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. You will be working as part of a team where we are committed to creating a culture where we treat each other fairly and with respect, recognising everyone as an individual. Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
Dec 05, 2025
Full time
Administrator (Hire Desk Controller) Stowmarket - onsite Permanent Up to £26k + Flexible Benefits Freedom Group have a fantastic opportunity for a Administrator (Hire Desk Controller) to join our team based in Stowmarket. This is a key role responsible for coordinating traffic management, plant, tool, and machinery hire to internal customers, ensuring smooth operational delivery through effective supply chain collaboration. Some of the key deliverables in this role will include: Managing daily plant and equipment hire requirements for operational teams Processing traffic management bookings and requirements. Raising and processing orders through to completion. Proactively managing equipment breakdowns and replacements. Developing strong working relationships with internal customers. Maintaining the Hire Desk diary and ensuring accurate scheduling. Liaising with supply chain partners to obtain quotes and confirm bookings. Working closely with the Finance Administrator in Wakefield to ensure invoice accuracy. Developing and maintaining knowledge of depot equipment for hire/sale, including safety and test requirements. What we're looking for: We're looking for a proactive and organised individual with strong communication skills and a positive, team-oriented attitude. Ideally, you'll have: Experience and knowledge of construction plant hire (desirable). Proficiency in Microsoft Office packages. Strong organisational skills and attention to detail. Effective communication and interpersonal skills. A commitment to learning and continuous improvement. A positive, can-do attitude and the ability to work well as part of a team. Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Salary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes Personal development programme Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. You will be working as part of a team where we are committed to creating a culture where we treat each other fairly and with respect, recognising everyone as an individual. Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
Senior Technician - Mechanical Engineering Uxbridge £24,569 - £26,114 4 days per week (28.8 hours) Monday - Thursday Permanent Negotiable start date We are seeking a Senior Technician in to support students and staff in our Mechanical Engineering section. You would supervise the team of Technicians in Mechanical Engineering, take the lead on Health and Safety issues, consumables, stock and maintain an inventory. You would prepare and maintain equipment for use by lecturing staff and students, demonstrate the use of equipment and support the teaching teams in their delivery of the curriculum. You would also supervise students in the workshop ensuring that they comply with health and safety requirements and good workshop practice. You will need to possess a Level 3 qualification in Mechanical Engineering with experience of working as a Technician in Mechanical Engineering, and the ability to work effectively with young people aged 16 - 19. You should have a good understanding of health and safety requirements and good communication skills, and have the ability to supervise a team effectively. Please note, we are unable to offer sponsorship for this role DUTIES: • To supervise the team of Mechanical Engineering Technicians within the Section. • To take the lead on Health & Safety within the Section. • To regularly service and maintain tools and equipment within the Engineering section. • To carry out risk assessment in conjunction with the Course Team Leader, Section Manager and Head of School and recommend improvements. • To report any major maintenance tasks to the Section Manager/ Head of School to ensure the least impact on teaching and learning. • To raise purchase order request forms to maintain stock levels of materials and tools at a level which enables effective teaching and learning. • To maintain cleanliness of teaching environments within the area of responsibility. • To liaise with Section Manager/ Head of School to ensure that all areas comply with health and safety and environmental requirements. • To demonstrate skills/ activities/ use of equipment and supervise, in conjunction with the lecturer, students working within the teaching areas with respect to health and safety and good working practice issues. • To assist course teams in preparing materials and resources for teaching and learning. • To assist lecturers in setting up equipment for teaching and learning within the post holder's area of responsibility. • To work with other technicians to ensure continuity of provision across the School of Engineering. • To be willing to undertake first aid training and a willingness to become a first aider within the College. Qualifications: • Level 3 qualification in Mechanical Engineering • Willing to undertake first aid training Knowledge and Experience: • Experience of working as a Mechanical Engineering Technician • Ability to lead/supervise a team effectively • Ability and willingness to learn and use mechanical test equipment e.g. for material testing, fluid mechanics, mechanical principles • Experience of bench fitting, drilling, milling and turning • Experience with CNC machines, vacuum forming, grinding and band saws • Up-to-date knowledge of Health and Safety requirements, particularly applied to machine shop environments • Industrial experience in Mechanical Engineering • Good communication skills, written and verbal • Good interpersonal skills • Ability to work effectively with vocational learners aged 16-19 We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment. You will have a safeguarding responsibility if appointed. The successful candidate will be subject to enhanced clearance through the Disclosure and Barring Service and employment will be subject to references. This post is not exempt from the Rehabilitation of Offenders Act 1974. To apply for this opportunity your detailed CV to Clarus Education now to be considered. We will be contacting those shortlisted within 48 hours of an application. Please see our website page headed 'About' and scroll to the bottom to see our 'Privacy Notice' for an explanation about how we use information we collect about you.
Dec 05, 2025
Full time
Senior Technician - Mechanical Engineering Uxbridge £24,569 - £26,114 4 days per week (28.8 hours) Monday - Thursday Permanent Negotiable start date We are seeking a Senior Technician in to support students and staff in our Mechanical Engineering section. You would supervise the team of Technicians in Mechanical Engineering, take the lead on Health and Safety issues, consumables, stock and maintain an inventory. You would prepare and maintain equipment for use by lecturing staff and students, demonstrate the use of equipment and support the teaching teams in their delivery of the curriculum. You would also supervise students in the workshop ensuring that they comply with health and safety requirements and good workshop practice. You will need to possess a Level 3 qualification in Mechanical Engineering with experience of working as a Technician in Mechanical Engineering, and the ability to work effectively with young people aged 16 - 19. You should have a good understanding of health and safety requirements and good communication skills, and have the ability to supervise a team effectively. Please note, we are unable to offer sponsorship for this role DUTIES: • To supervise the team of Mechanical Engineering Technicians within the Section. • To take the lead on Health & Safety within the Section. • To regularly service and maintain tools and equipment within the Engineering section. • To carry out risk assessment in conjunction with the Course Team Leader, Section Manager and Head of School and recommend improvements. • To report any major maintenance tasks to the Section Manager/ Head of School to ensure the least impact on teaching and learning. • To raise purchase order request forms to maintain stock levels of materials and tools at a level which enables effective teaching and learning. • To maintain cleanliness of teaching environments within the area of responsibility. • To liaise with Section Manager/ Head of School to ensure that all areas comply with health and safety and environmental requirements. • To demonstrate skills/ activities/ use of equipment and supervise, in conjunction with the lecturer, students working within the teaching areas with respect to health and safety and good working practice issues. • To assist course teams in preparing materials and resources for teaching and learning. • To assist lecturers in setting up equipment for teaching and learning within the post holder's area of responsibility. • To work with other technicians to ensure continuity of provision across the School of Engineering. • To be willing to undertake first aid training and a willingness to become a first aider within the College. Qualifications: • Level 3 qualification in Mechanical Engineering • Willing to undertake first aid training Knowledge and Experience: • Experience of working as a Mechanical Engineering Technician • Ability to lead/supervise a team effectively • Ability and willingness to learn and use mechanical test equipment e.g. for material testing, fluid mechanics, mechanical principles • Experience of bench fitting, drilling, milling and turning • Experience with CNC machines, vacuum forming, grinding and band saws • Up-to-date knowledge of Health and Safety requirements, particularly applied to machine shop environments • Industrial experience in Mechanical Engineering • Good communication skills, written and verbal • Good interpersonal skills • Ability to work effectively with vocational learners aged 16-19 We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment. You will have a safeguarding responsibility if appointed. The successful candidate will be subject to enhanced clearance through the Disclosure and Barring Service and employment will be subject to references. This post is not exempt from the Rehabilitation of Offenders Act 1974. To apply for this opportunity your detailed CV to Clarus Education now to be considered. We will be contacting those shortlisted within 48 hours of an application. Please see our website page headed 'About' and scroll to the bottom to see our 'Privacy Notice' for an explanation about how we use information we collect about you.
Job Description Control Systems Engineer - Submarines Full Time / Hybrid (3 Days in Office) Derby, UK As a Control Systems Engineer, you'll lead and drive from an architectural concept to a physical design. Support the concept development, detailed design, testing and verification whilst ensuring safety is always accounted for. The Controls Systems Engineer will contribute and participate in the development, planning, implementation and adherence of policies and procedures to ensure that the activities considered during the engineering life cycle of a system design are carried out in a consistent and appropriate manner. Why Rolls -Royce? Your role will be vital to the development of engineering and test capabilities. Working within a multi-discipline design team, you will design new production and experimental test facilities, reduce the incidence of costly breakdowns and develop with other's strategies to improve overall reliability and safety of plant, personnel and test processes. Work with us and we'll welcome you into a culture of caring and belonging where you can be yourself. We will listen first, embrace feedback and act with integrity. We will invest in your continuous learning and development, and make sure you have access to a wide breadth and depth of opportunities to grow your career and make a difference. We offer excellent development, a competitive salary and exceptional benefits. These include bonus, employee support assistance and employee discounts. Hybrid working is a way in which our people can balance their time between the office, home or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, frequency will depend on business needs, nature of role, what works for the team and for the individual. Discover more on our GBS Service Portal about hybrid working. Responsibilities: The Controls Systems Engineer/PLC Engineer will play a vital role to design, specify for manufacture, test, commission, and support both bespoke and commercial off the shelf control system solutions. You'll review and agree high level functional and operational requirements including their testability. Your main responsibilities will include: Design and implement complex control system solutions to meet the high-level requirements, constraints or standards. Working in a cross-disciplinary environment to develop solutions for new production and experimental test facilities; understanding functional requirements and performance capabilities of the system to facilitate effective system design. Software Development: Write complex software modules from philosophy documents or transform obsolete control systems into modern, software-driven solutions. Hardware Design: Design in detail new hardware solutions from concept documents such as P&IDs, equipment schedule etc. for new installations as well as to replace outdated control systems or upgrade existing ones. Problem-Solving: Identify and rectify issues during software/hardware integration testing and support the commissioning team during equipment/software installation. Prepare technical reports and documentation to a standard compatible with engineering best practice. Be the technical support to the supply chain, including the assessment of electrical and control system components and design definition updates. Also undertake the project planning and control to ensure cost and schedule adherence. Who we are looking for: Ideally you should have carried out a similar role in the industrial sector and have experience of the requirements in the manufacturing facilities and/or nuclear sector. At Rolls-Royce we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. Hands-on experience with industrial control systems applications and industrial IT/OT networks. Specific experience with Rockwell/Allen Bradley Control Systems is advantageous. Hands-on experience of specifying and designing control system hardware including familiarity with various I/O signal type interfaces with instrumentation. Working knowledge of change/configuration management tools and processes, as well as experience with IT tools and software for control system design such as AutoCAD Electrical and/or E-Plan. Ideally have experience with the Engineering Product/Project Lifecycle (Initial Requirements through to Disposal). Ideally have a broad understanding of relevant IEC standards used in control system design, such as Machinery Directive, BS7671 IET Wiring regulations, IEC 61131, IEC 61508/61511 etc. Proactive and self-starting individual who can work with various disciplines across different engineering functions. A degree or equivalent professional accreditation in an engineering discipline, preferably related to Controls, Electrical, Electronics, Instrumentation, or Software. Member of a professional engineering institution (e.g. The IET), and ideally working towards gaining Chartered status. We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we'll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential. Learn more about our global Inclusion Strategy To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. Job Category Electrical and Electronics Posting Date 07 Nov 2025; 00:11 Posting End Date 16 Nov 2025PandoLogic.
Nov 11, 2025
Full time
Job Description Control Systems Engineer - Submarines Full Time / Hybrid (3 Days in Office) Derby, UK As a Control Systems Engineer, you'll lead and drive from an architectural concept to a physical design. Support the concept development, detailed design, testing and verification whilst ensuring safety is always accounted for. The Controls Systems Engineer will contribute and participate in the development, planning, implementation and adherence of policies and procedures to ensure that the activities considered during the engineering life cycle of a system design are carried out in a consistent and appropriate manner. Why Rolls -Royce? Your role will be vital to the development of engineering and test capabilities. Working within a multi-discipline design team, you will design new production and experimental test facilities, reduce the incidence of costly breakdowns and develop with other's strategies to improve overall reliability and safety of plant, personnel and test processes. Work with us and we'll welcome you into a culture of caring and belonging where you can be yourself. We will listen first, embrace feedback and act with integrity. We will invest in your continuous learning and development, and make sure you have access to a wide breadth and depth of opportunities to grow your career and make a difference. We offer excellent development, a competitive salary and exceptional benefits. These include bonus, employee support assistance and employee discounts. Hybrid working is a way in which our people can balance their time between the office, home or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, frequency will depend on business needs, nature of role, what works for the team and for the individual. Discover more on our GBS Service Portal about hybrid working. Responsibilities: The Controls Systems Engineer/PLC Engineer will play a vital role to design, specify for manufacture, test, commission, and support both bespoke and commercial off the shelf control system solutions. You'll review and agree high level functional and operational requirements including their testability. Your main responsibilities will include: Design and implement complex control system solutions to meet the high-level requirements, constraints or standards. Working in a cross-disciplinary environment to develop solutions for new production and experimental test facilities; understanding functional requirements and performance capabilities of the system to facilitate effective system design. Software Development: Write complex software modules from philosophy documents or transform obsolete control systems into modern, software-driven solutions. Hardware Design: Design in detail new hardware solutions from concept documents such as P&IDs, equipment schedule etc. for new installations as well as to replace outdated control systems or upgrade existing ones. Problem-Solving: Identify and rectify issues during software/hardware integration testing and support the commissioning team during equipment/software installation. Prepare technical reports and documentation to a standard compatible with engineering best practice. Be the technical support to the supply chain, including the assessment of electrical and control system components and design definition updates. Also undertake the project planning and control to ensure cost and schedule adherence. Who we are looking for: Ideally you should have carried out a similar role in the industrial sector and have experience of the requirements in the manufacturing facilities and/or nuclear sector. At Rolls-Royce we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. Hands-on experience with industrial control systems applications and industrial IT/OT networks. Specific experience with Rockwell/Allen Bradley Control Systems is advantageous. Hands-on experience of specifying and designing control system hardware including familiarity with various I/O signal type interfaces with instrumentation. Working knowledge of change/configuration management tools and processes, as well as experience with IT tools and software for control system design such as AutoCAD Electrical and/or E-Plan. Ideally have experience with the Engineering Product/Project Lifecycle (Initial Requirements through to Disposal). Ideally have a broad understanding of relevant IEC standards used in control system design, such as Machinery Directive, BS7671 IET Wiring regulations, IEC 61131, IEC 61508/61511 etc. Proactive and self-starting individual who can work with various disciplines across different engineering functions. A degree or equivalent professional accreditation in an engineering discipline, preferably related to Controls, Electrical, Electronics, Instrumentation, or Software. Member of a professional engineering institution (e.g. The IET), and ideally working towards gaining Chartered status. We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we'll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential. Learn more about our global Inclusion Strategy To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. Job Category Electrical and Electronics Posting Date 07 Nov 2025; 00:11 Posting End Date 16 Nov 2025PandoLogic.
