A Snapshot of Your Day As part of our Small Gas Turbine team, you'll travel to customer sites across the UK and internationally supporting the commissioning, overhaul, troubleshooting, and optimisation of advanced gas turbine technology. From first-fire activities to resolving complex technical issues, you'll play a key role in keeping critical power generation assets operating safely, efficiently, and reliably. No two days are the same. One week you could be supporting a planned outage, the next you may be mobilising to support a customer breakdown or leading commissioning activities on newly installed equipment. Working alongside experienced engineers, customers, and project teams, you'll become a trusted technical expert within a highly skilled global engineering environment. How You'll Make an Impact Lead and support commissioning, troubleshooting, and operational activities for Siemens Energy Small Gas Turbines across customer sites globally. Carry out pre-commissioning, first-fire, tuning, and performance optimisation activities across a range of turbine and control systems including PCS7 and CLogix. Diagnose technical faults, perform root cause analysis, and implement corrective actions to maximise plant reliability and operational performance Support outage and overhaul activities, ensuring work is completed safely, efficiently, and to the highest quality standards. Work closely with customers, project teams, and field engineers to deliver successful site activities while maintaining strong customer relationships. Mentor customer operating teams and junior engineers, sharing technical expertise and supporting knowledge transfer. Contribute to continuous improvement initiatives, helping enhance field processes, commissioning standards, and operational best practices. What You Bring Proven engineering background with a degree, HNC/HND, or equivalent experience within rotating equipment, power generation, or industrial systems. Experience commissioning, maintaining, or troubleshooting gas turbines or similar rotating machinery. Strong understanding of turbine control systems and operational processes. Excellent fault-finding and problem-solving skills within live operational environments. Strong communication and customer-facing skills, with the ability to work effectively across diverse teams and customer locations. A flexible approach to travel and mobilisation, including short-notice customer support when required. A proactive and self-driven mindset with a strong focus on safety, quality, and customer satisfaction. About the Team Our Gas Services division offers low-emission power generation through service and decarbonization. We bring together zero or low-emission power generation, all gas turbines, steam turbines, and generators under one roof. Our team focuses on modernisation and digitalisation of the fleet, pushing the boundaries of what's possible in energy transition. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees across more than 90 countries, we develop the energy systems of the future, ensuring the growing energy demand of the global community is met reliably and sustainably. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Siemens Energy Employee Video Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character, no matter what ethnic background, gender, age, religion, identity, or disability. We energise society, all of society, and we do not discriminate based on our differences. Rewards/Benefits •Competitive salary and overtime opportunities 26 days holiday, increasing to 29 days with time served, plus bank holidays Access to a flexible benefits portal including private medical cover, cycle-to-work schemes, and more A class-leading adjustable pension scheme Opportunities for career development and continuous learning The opportunity to work on advanced turbine technology across a wide range of customer environments globally A supportive and collaborative working environment focused on innovation and technical excellence
May 23, 2026
Full time
A Snapshot of Your Day As part of our Small Gas Turbine team, you'll travel to customer sites across the UK and internationally supporting the commissioning, overhaul, troubleshooting, and optimisation of advanced gas turbine technology. From first-fire activities to resolving complex technical issues, you'll play a key role in keeping critical power generation assets operating safely, efficiently, and reliably. No two days are the same. One week you could be supporting a planned outage, the next you may be mobilising to support a customer breakdown or leading commissioning activities on newly installed equipment. Working alongside experienced engineers, customers, and project teams, you'll become a trusted technical expert within a highly skilled global engineering environment. How You'll Make an Impact Lead and support commissioning, troubleshooting, and operational activities for Siemens Energy Small Gas Turbines across customer sites globally. Carry out pre-commissioning, first-fire, tuning, and performance optimisation activities across a range of turbine and control systems including PCS7 and CLogix. Diagnose technical faults, perform root cause analysis, and implement corrective actions to maximise plant reliability and operational performance Support outage and overhaul activities, ensuring work is completed safely, efficiently, and to the highest quality standards. Work closely with customers, project teams, and field engineers to deliver successful site activities while maintaining strong customer relationships. Mentor customer operating teams and junior engineers, sharing technical expertise and supporting knowledge transfer. Contribute to continuous improvement initiatives, helping enhance field processes, commissioning standards, and operational best practices. What You Bring Proven engineering background with a degree, HNC/HND, or equivalent experience within rotating equipment, power generation, or industrial systems. Experience commissioning, maintaining, or troubleshooting gas turbines or similar rotating machinery. Strong understanding of turbine control systems and operational processes. Excellent fault-finding and problem-solving skills within live operational environments. Strong communication and customer-facing skills, with the ability to work effectively across diverse teams and customer locations. A flexible approach to travel and mobilisation, including short-notice customer support when required. A proactive and self-driven mindset with a strong focus on safety, quality, and customer satisfaction. About the Team Our Gas Services division offers low-emission power generation through service and decarbonization. We bring together zero or low-emission power generation, all gas turbines, steam turbines, and generators under one roof. Our team focuses on modernisation and digitalisation of the fleet, pushing the boundaries of what's possible in energy transition. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees across more than 90 countries, we develop the energy systems of the future, ensuring the growing energy demand of the global community is met reliably and sustainably. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Siemens Energy Employee Video Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character, no matter what ethnic background, gender, age, religion, identity, or disability. We energise society, all of society, and we do not discriminate based on our differences. Rewards/Benefits •Competitive salary and overtime opportunities 26 days holiday, increasing to 29 days with time served, plus bank holidays Access to a flexible benefits portal including private medical cover, cycle-to-work schemes, and more A class-leading adjustable pension scheme Opportunities for career development and continuous learning The opportunity to work on advanced turbine technology across a wide range of customer environments globally A supportive and collaborative working environment focused on innovation and technical excellence
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
May 23, 2026
Full time
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
May 23, 2026
Full time
Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
Why join Marshall Land Systems in this role This is a great opportunity for a Mechanical Design Engineer who wants variety, hands-on engineering exposure and the chance to develop within a strong mechanical design team. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. The work is practical, varied and meaningful, with engineers involved across design, build, integration, production support and in-service improvement. One project may involve developing structural solutions for a welded frame, another may require packaging equipment into constrained spaces, while another may focus on supporting manufacture, resolving build issues, updating design data or contributing to bids and modifications. You will not be working on the same product every day. Each programme brings different technical challenges and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. You will be part of a supportive mechanical design team, working from our modern offices in Cambridge and collaborating with colleagues across Engineering, Manufacturing, Quality, Supply Chain and Operations in the UK and Canada. For someone who wants to grow technically and see their designs become real physical products, this is a strong opportunity. This is a hybrid role, with an expectation to be onsite in Cambridge around 70% of the time. The role A Mechanical Design Engineer is required to support the design, development and delivery of robust mechanical solutions across bids and projects. The role will help provide continuity of design intent, maintain configuration control and support effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. Working as part of a wider engineering team, the role will involve developing requirements, producing and checking engineering data, creating and updating 3D models and 2D drawings, supporting configuration control and contributing to the delivery of safe, compliant and manufacturable solutions. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. The successful candidate will work closely with colleagues across Engineering and Operations in both the UK and Canada, supporting the delivery of products and systems that meet customer, regulatory, cost and schedule requirements. This is engineering you can see. Our teams work on real physical products, support them through build and integration, and often remain involved as designs mature through trials, production and in-service use. Your responsibilities will include Support the design and development of mechanical solutions across bids, projects and product modifications. Create, amend and support the checking of mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated engineering data. Use Autodesk Inventor to develop 3D models, assemblies, drawings and practical mechanical design solutions. Use Windchill PLM to support product data management, configuration control, engineering change, item data, Bills of Material and release activity. Gain exposure to the full engineering lifecycle, from early concept and bid support through to design, build, integration and in-service updates. Support the generation and development of design requirements from stakeholder and customer needs. Contribute to the development of mechanical architectures and practical design solutions. Work to regulatory, customer and Marshall processes, ensuring engineering outputs are safe, compliant and fit for purpose. Support the preparation and checking of technical documentation, including design data, technical reports and certification evidence. Maintain product, drawing and document configuration control. Work collaboratively with Mechanical, Electrical, Manufacturing, Quality, Supply Chain and Operations teams. Support design for manufacture and assembly activities, working with production and manufacturing teams to develop practical and efficient solutions. Assist with design queries, inspection reports, technical issues and warranty-related investigations. Support technical input into bids, statements of work and project documentation where required. Identify opportunities to improve design quality, cost, manufacturability and delivery performance. Contribute to continuous improvement and challenge existing ways of working where appropriate. Develop your technical capability with support from experienced Senior and Principal Engineers. Contribute to real physical products where good engineering judgement, attention to detail and practical design make a visible difference. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. You will be joining a team that is technically strong, approachable and supportive. We value engineers who share knowledge, help others, challenge constructively and take pride in delivering good engineering. What we are looking for Apply if you have most of the following: Degree qualified in Engineering, Mathematics or Physics, or equivalent relevant experience. Experience in mechanical design engineering within a complex or regulated environment. Experience producing or supporting mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated design data. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to work from requirements and develop practical engineering solutions. Understanding of engineering standards, product safety and design governance. Understanding of design for manufacture, design for assembly and configuration management. Broad understanding of manufacturing methods such as sheet metal fabrication, welding, riveting and bonding. Strong problem-solving skills with a high level of attention to detail. Ability to work accurately, manage priorities and deliver to timescale. Confidence to provide sound technical input based on facts and engineering judgement. Good communication skills, with the ability to explain technical information clearly to both technical and non-technical audiences. Ability to work effectively across teams, functions and locations. Desirable experience Experience supporting products through production, build, integration or in-service support. Experience contributing to bids, technical proposals or statements of work. Experience preparing technical reports and supporting certification activities. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. The benefits we offer include 27 days holiday, increasing with service up to 30 days, with the option to buy and sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefits programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details
May 23, 2026
Full time
Why join Marshall Land Systems in this role This is a great opportunity for a Mechanical Design Engineer who wants variety, hands-on engineering exposure and the chance to develop within a strong mechanical design team. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. The work is practical, varied and meaningful, with engineers involved across design, build, integration, production support and in-service improvement. One project may involve developing structural solutions for a welded frame, another may require packaging equipment into constrained spaces, while another may focus on supporting manufacture, resolving build issues, updating design data or contributing to bids and modifications. You will not be working on the same product every day. Each programme brings different technical challenges and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. You will be part of a supportive mechanical design team, working from our modern offices in Cambridge and collaborating with colleagues across Engineering, Manufacturing, Quality, Supply Chain and Operations in the UK and Canada. For someone who wants to grow technically and see their designs become real physical products, this is a strong opportunity. This is a hybrid role, with an expectation to be onsite in Cambridge around 70% of the time. The role A Mechanical Design Engineer is required to support the design, development and delivery of robust mechanical solutions across bids and projects. The role will help provide continuity of design intent, maintain configuration control and support effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. Working as part of a wider engineering team, the role will involve developing requirements, producing and checking engineering data, creating and updating 3D models and 2D drawings, supporting configuration control and contributing to the delivery of safe, compliant and manufacturable solutions. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. The successful candidate will work closely with colleagues across Engineering and Operations in both the UK and Canada, supporting the delivery of products and systems that meet customer, regulatory, cost and schedule requirements. This is engineering you can see. Our teams work on real physical products, support them through build and integration, and often remain involved as designs mature through trials, production and in-service use. Your responsibilities will include Support the design and development of mechanical solutions across bids, projects and product modifications. Create, amend and support the checking of mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated engineering data. Use Autodesk Inventor to develop 3D models, assemblies, drawings and practical mechanical design solutions. Use Windchill PLM to support product data management, configuration control, engineering change, item data, Bills of Material and release activity. Gain exposure to the full engineering lifecycle, from early concept and bid support through to design, build, integration and in-service updates. Support the generation and development of design requirements from stakeholder and customer needs. Contribute to the development of mechanical architectures and practical design solutions. Work to regulatory, customer and Marshall processes, ensuring engineering outputs are safe, compliant and fit for purpose. Support the preparation and checking of technical documentation, including design data, technical reports and certification evidence. Maintain product, drawing and document configuration control. Work collaboratively with Mechanical, Electrical, Manufacturing, Quality, Supply Chain and Operations teams. Support design for manufacture and assembly activities, working with production and manufacturing teams to develop practical and efficient solutions. Assist with design queries, inspection reports, technical issues and warranty-related investigations. Support technical input into bids, statements of work and project documentation where required. Identify opportunities to improve design quality, cost, manufacturability and delivery performance. Contribute to continuous improvement and challenge existing ways of working where appropriate. Develop your technical capability with support from experienced Senior and Principal Engineers. Contribute to real physical products where good engineering judgement, attention to detail and practical design make a visible difference. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. You will be joining a team that is technically strong, approachable and supportive. We value engineers who share knowledge, help others, challenge constructively and take pride in delivering good engineering. What we are looking for Apply if you have most of the following: Degree qualified in Engineering, Mathematics or Physics, or equivalent relevant experience. Experience in mechanical design engineering within a complex or regulated environment. Experience producing or supporting mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated design data. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to work from requirements and develop practical engineering solutions. Understanding of engineering standards, product safety and design governance. Understanding of design for manufacture, design for assembly and configuration management. Broad understanding of manufacturing methods such as sheet metal fabrication, welding, riveting and bonding. Strong problem-solving skills with a high level of attention to detail. Ability to work accurately, manage priorities and deliver to timescale. Confidence to provide sound technical input based on facts and engineering judgement. Good communication skills, with the ability to explain technical information clearly to both technical and non-technical audiences. Ability to work effectively across teams, functions and locations. Desirable experience Experience supporting products through production, build, integration or in-service support. Experience contributing to bids, technical proposals or statements of work. Experience preparing technical reports and supporting certification activities. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. The benefits we offer include 27 days holiday, increasing with service up to 30 days, with the option to buy and sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefits programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details
Why join Marshall Land Systems in this role This is an excellent opportunity for a Senior Mechanical Design Engineer who wants technical ownership, programme variety and the chance to influence real engineering outcomes. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. This role is not about repeatedly designing the same product. You will support bids, new product development, modifications, configuration control, production support, integration, trials and in-service improvements. One programme may require structural design and welded frame development, another may involve packaging systems into a constrained module, while another may focus on manufacturability, integration or customer-specific modifications. As a Senior Engineer - Mechanical Design, you will be expected to apply sound engineering judgement, guide others, make technical decisions and help maintain continuity of design intent across complex programmes. You will also support the development of less experienced engineers through technical guidance, coaching and checking. You will be joining a strong and supportive mechanical design team, working from our modern Cambridge offices and collaborating with colleagues across the UK, Canada and the Netherlands. This opportunity is a hybrid role requiring you to be onsite in Cambridge around 50-70% of the time. Job Description A Senior Engineer - Mechanical Design is required to take lead responsibility for mechanical design activities, provide continuity of design intent and configuration control, and ensure effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. The role will be to act as a senior mechanical design engineer, providing Subject Matter Expert leadership and guidance in the development of bids and delivery of projects. There will also be occasions where the successful candidate will lead specific projects or work packages. The role will require working with the current team to generate and develop requirements, define mechanical architecture, produce and check engineering data, and support technical planning. The role will also involve coaching and supporting others within the team. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. Your responsibilities will include Act as a Mechanical Design Subject Matter Expert across bids, projects and product modifications. Take technical ownership of mechanical design activities across varied programmes and product types. Produce, review and check mechanical design outputs, including 3D models, 2D drawings, item lists, product structures, design data and technical documentation. Use Autodesk Inventor to develop robust 3D models, assemblies, drawings and design solutions. Use Windchill PLM to manage product data, configuration control, engineering change, item data, Bills of Material and release activity. Support the generation of complex mechanical design architectures for new and existing product design concepts, from initial risk assessment and feasibility studies through to functional design freeze. Lead technical input into bids, modifications and project delivery activities. Generate, review and check technical documentation, including project plans, technical proposals, customer and supplier statements of work, design data and certification evidence. Apply sound systems engineering thinking to mechanical design activities. Work with stakeholder and customer requirements to derive internal design requirements. Develop mechanical approaches for modifications, upgrades and new project work. Provide technical leadership, coaching and support to mechanical design engineers and early careers engineers. Support continuity of design intent and maintain configuration control across complex programmes. Support design reviews, technical reviews and change boards. Work collaboratively with programme, manufacturing, supply chain, quality, integration and operations teams. Support the resolution of technical issues during build, integration, trials and in-service support. Help improve engineering quality, design standards, manufacturability and ways of working across the Mechanical Design function. Ensure compliance with regulatory, customer and Marshall processes. Bring significant platform, product and regulatory experience to the efficient and effective completion of engineering data sets. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. If you are looking for a role where every project looks the same, this probably is not it. Our programmes vary significantly in size, scope, customer need and technical challenge. That variety keeps the work interesting and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. Qualifications Qualified to degree level in Engineering, Mathematics or Physics with relevant and sufficient experience in the field. Alternative qualifications and/or experience will be considered. Apply if you have most of the following Demonstrable experience working as a Senior Mechanical Design Engineer or experienced Mechanical Design Engineer within a complex engineering environment. Experience producing, reviewing or checking mechanical design data, including 3D models, 2D drawings, item lists, product structures and technical documentation. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Strong understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to apply sound systems engineering thinking to mechanical design work. In-depth understanding of industry standard design practices such as tolerance assessment, design for manufacture and assembly, configuration management and design governance. Experience working from stakeholder or customer requirements to derive practical internal design requirements. Experience developing mechanical approaches for modifications, upgrades, new designs or complex project work. Ability to compile technical reports, certification documentation and supporting design evidence. Understanding of mechanical certification and validation methods, with the ability to identify appropriate means of compliance. Experience planning and delivering complex tasks to schedule and budget. Ability to manage priorities across multiple projects or work packages. Confidence to provide sound technical input based on facts, evidence and engineering judgement. Ability to support, coach and guide less experienced engineers. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex or regulated engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. The benefits we will offer you include 27 days holiday increasing with service up to 30 days, with the option to buy or sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefit programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details
May 23, 2026
Full time
Why join Marshall Land Systems in this role This is an excellent opportunity for a Senior Mechanical Design Engineer who wants technical ownership, programme variety and the chance to influence real engineering outcomes. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. This role is not about repeatedly designing the same product. You will support bids, new product development, modifications, configuration control, production support, integration, trials and in-service improvements. One programme may require structural design and welded frame development, another may involve packaging systems into a constrained module, while another may focus on manufacturability, integration or customer-specific modifications. As a Senior Engineer - Mechanical Design, you will be expected to apply sound engineering judgement, guide others, make technical decisions and help maintain continuity of design intent across complex programmes. You will also support the development of less experienced engineers through technical guidance, coaching and checking. You will be joining a strong and supportive mechanical design team, working from our modern Cambridge offices and collaborating with colleagues across the UK, Canada and the Netherlands. This opportunity is a hybrid role requiring you to be onsite in Cambridge around 50-70% of the time. Job Description A Senior Engineer - Mechanical Design is required to take lead responsibility for mechanical design activities, provide continuity of design intent and configuration control, and ensure effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. The role will be to act as a senior mechanical design engineer, providing Subject Matter Expert leadership and guidance in the development of bids and delivery of projects. There will also be occasions where the successful candidate will lead specific projects or work packages. The role will require working with the current team to generate and develop requirements, define mechanical architecture, produce and check engineering data, and support technical planning. The role will also involve coaching and supporting others within the team. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. Your responsibilities will include Act as a Mechanical Design Subject Matter Expert across bids, projects and product modifications. Take technical ownership of mechanical design activities across varied programmes and product types. Produce, review and check mechanical design outputs, including 3D models, 2D drawings, item lists, product structures, design data and technical documentation. Use Autodesk Inventor to develop robust 3D models, assemblies, drawings and design solutions. Use Windchill PLM to manage product data, configuration control, engineering change, item data, Bills of Material and release activity. Support the generation of complex mechanical design architectures for new and existing product design concepts, from initial risk assessment and feasibility studies through to functional design freeze. Lead technical input into bids, modifications and project delivery activities. Generate, review and check technical documentation, including project plans, technical proposals, customer and supplier statements of work, design data and certification evidence. Apply sound systems engineering thinking to mechanical design activities. Work with stakeholder and customer requirements to derive internal design requirements. Develop mechanical approaches for modifications, upgrades and new project work. Provide technical leadership, coaching and support to mechanical design engineers and early careers engineers. Support continuity of design intent and maintain configuration control across complex programmes. Support design reviews, technical reviews and change boards. Work collaboratively with programme, manufacturing, supply chain, quality, integration and operations teams. Support the resolution of technical issues during build, integration, trials and in-service support. Help improve engineering quality, design standards, manufacturability and ways of working across the Mechanical Design function. Ensure compliance with regulatory, customer and Marshall processes. Bring significant platform, product and regulatory experience to the efficient and effective completion of engineering data sets. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. If you are looking for a role where every project looks the same, this probably is not it. Our programmes vary significantly in size, scope, customer need and technical challenge. That variety keeps the work interesting and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. Qualifications Qualified to degree level in Engineering, Mathematics or Physics with relevant and sufficient experience in the field. Alternative qualifications and/or experience will be considered. Apply if you have most of the following Demonstrable experience working as a Senior Mechanical Design Engineer or experienced Mechanical Design Engineer within a complex engineering environment. Experience producing, reviewing or checking mechanical design data, including 3D models, 2D drawings, item lists, product structures and technical documentation. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Strong understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to apply sound systems engineering thinking to mechanical design work. In-depth understanding of industry standard design practices such as tolerance assessment, design for manufacture and assembly, configuration management and design governance. Experience working from stakeholder or customer requirements to derive practical internal design requirements. Experience developing mechanical approaches for modifications, upgrades, new designs or complex project work. Ability to compile technical reports, certification documentation and supporting design evidence. Understanding of mechanical certification and validation methods, with the ability to identify appropriate means of compliance. Experience planning and delivering complex tasks to schedule and budget. Ability to manage priorities across multiple projects or work packages. Confidence to provide sound technical input based on facts, evidence and engineering judgement. Ability to support, coach and guide less experienced engineers. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex or regulated engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. The benefits we will offer you include 27 days holiday increasing with service up to 30 days, with the option to buy or sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefit programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details
Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
May 23, 2026
Full time
Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture. We are now looking for a Data Scientist to join our Data Science team! You'll take on end-to-end problems and turn ambiguous questions into analysis, models, and recommendations that teams can act on. We keep things practical and focus on what works. Our data primarily lives in Google BigQuery, and we also work with off-platform data sources such as social media. We use a mix of Amazon Web Services and Google Cloud Platform for infrastructure, and Apache Airflow powers our pipelines and orchestration. We mostly use Python and SQL, though we pick up other languages and other tools as the work demands. About the role Own data science projects from problem definition to delivery, independently delivering impactful projects across the editorial, marketing, advertising, product and engineering departments. Understand what makes stories reach and engage audiences, support content discovery and tagging systems, analyse how editorial decisions influence performance and help journalists find leads and insights in large datasets Model reader conversion, churn, and engagement with products, segmenting audiences to support growth and supporting marketing campaign and product optimisation Optimise advertising campaigns, enrich content metadata for advertising purposes and help teams make better decisions with imperfect data Deploy data solutions in close collaboration with the engineering team, embedding models into existing tools and workflows Work on improvements at every step of the Machine Learning lifecycle About you Strong experience in Python and SQL, experience working with data in BigQuery would also be beneficial. Excellent command of statistics and machine learning (NLP experience a bonus) Proven track record delivering end-to-end analysis or modelling projects Ability to communicate clearly with both technical and non-technical audiences Comfortable working with ambiguity and incomplete information We actively encourage applications from groups traditionally underrepresented in the UK media We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements. How to apply To apply, please upload your latest CV and a cover letter which outlines why you'd love to take on this role, and why you're a great match for what we're looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Friday 29th May 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application. Benefits at the Guardian You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available. You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance. We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy. Culture and wellbeing We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner. Learning and development We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
May 23, 2026
Full time
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture. We are now looking for a Data Scientist to join our Data Science team! You'll take on end-to-end problems and turn ambiguous questions into analysis, models, and recommendations that teams can act on. We keep things practical and focus on what works. Our data primarily lives in Google BigQuery, and we also work with off-platform data sources such as social media. We use a mix of Amazon Web Services and Google Cloud Platform for infrastructure, and Apache Airflow powers our pipelines and orchestration. We mostly use Python and SQL, though we pick up other languages and other tools as the work demands. About the role Own data science projects from problem definition to delivery, independently delivering impactful projects across the editorial, marketing, advertising, product and engineering departments. Understand what makes stories reach and engage audiences, support content discovery and tagging systems, analyse how editorial decisions influence performance and help journalists find leads and insights in large datasets Model reader conversion, churn, and engagement with products, segmenting audiences to support growth and supporting marketing campaign and product optimisation Optimise advertising campaigns, enrich content metadata for advertising purposes and help teams make better decisions with imperfect data Deploy data solutions in close collaboration with the engineering team, embedding models into existing tools and workflows Work on improvements at every step of the Machine Learning lifecycle About you Strong experience in Python and SQL, experience working with data in BigQuery would also be beneficial. Excellent command of statistics and machine learning (NLP experience a bonus) Proven track record delivering end-to-end analysis or modelling projects Ability to communicate clearly with both technical and non-technical audiences Comfortable working with ambiguity and incomplete information We actively encourage applications from groups traditionally underrepresented in the UK media We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements. How to apply To apply, please upload your latest CV and a cover letter which outlines why you'd love to take on this role, and why you're a great match for what we're looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Friday 29th May 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application. Benefits at the Guardian You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available. You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance. We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy. Culture and wellbeing We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner. Learning and development We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 23, 2026
Full time
Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
May 23, 2026
Full time
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
Award-winning and bold innovation. Modern Tech-Stack. Impacting the future. Technical Lead - Artificial Intelligence £70,000 - £77,000 plus benefits Reports to: Head of Engineering Grade: P3 (MP) Directorate : Chief Operating Office Contract : 2 year fixed-term contract Hours: Full time 35 hours per week Location: Stratford, London , high flexibility. We know great work doesn't happen in just one place or one way. This role is designed to be highly flexible, with the opportunity to work largely remotely, alongside occasional time in our offices for collaboration when it adds the most value. Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. Closing date: 31 May 2026, 23:55. Note we are shortlisting on an ongoing basis - please do not delay applying for the role. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the application questions and work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: 3 stage interview process consisting of a screening call, role-based competency interview and technical task. At Cancer Research UK, we exist to beat cancer. At Cancer Research UK, we are a community of professionals with purpose. Every day, we push boundaries to beat cancer-yet we know we must go. Technical Lead - Artificial Intelligence At Cancer Research UK, we're harnessing the power of Artificial Intelligence to help beat cancer. From Generative and Agentic AI to machine learning, AI is becoming a transformative capability across our organisation - helping us work smarter, accelerate scientific discovery, and create more personalised and meaningful experiences for our supporters. This is a chance to take on a highly flexible Technical Lead role where you can apply your deep technical expertise to purposeful work, while enjoying the autonomy to work largely remotely and shape solutions that genuinely matter. About the role As a Technical Lead, you'll play a critical role in turning ambitious AI opportunities into high quality, scalable technology solutions. You'll work across the full lifecycle - from early stage ideas and proof of concepts through to production ready systems that are embedded into the organisation. You'll be accountable for technical quality and delivery, working in a highly matrixed environment alongside internal product teams and trusted external partners. Technology agnostic and adaptable, you'll help shape problem statements, align solution designs to our AI vision, and guide teams through complex technical decisions. This is a hands on leadership role that offers variety, influence, and the opportunity to help define how engineering practices evolve in the age of AI - all while supporting a mission that saves lives. What will I be doing? Act as Technical Lead for key AI initiatives at different stages - from emerging ideas and proofs of concept through to solutions ready to scale and operationalise Assess technical complexity, feasibility, and effort, helping teams make informed delivery decisions Identify where foundational changes to platforms or infrastructure are needed to unlock AI capabilities Work with Product Managers and colleagues to assess when and how to partner with external suppliers Collaborate closely with Product and Project Managers, Architects, UX and Service Designers, and Business Analysts to understand user needs and iteratively design effective solutions Provide technical assurance and constructive challenge for external technology partners Validate high level designs and support smooth transitions from design into delivery Produce low level designs, technical work plans, and documentation in line with delivery standards Proactively surface technical risks, issues, and dependencies to initiative leads Contribute significantly to testing strategies and plans to ensure solutions are robust, secure, and reliable What are we looking for? We're looking for someone who brings both strong technical leadership and a genuine interest in how AI can create real world value. You'll have: Experience delivering Commercial Off the Shelf (COTS) and Software as a Service (SaaS) solutions, from procurement through to live operation Recent, hands on experience writing clean, maintainable, and well tested code using proven design patterns The curiosity and adaptability to learn new languages, frameworks, and tools Deep technical expertise and the confidence to tackle complex problems independently A strong interest in AI and innovation, with the ability to role model how modern engineering practices can evolve to deliver greater impact Experience working across a range of domains, with the ability to context switch as priorities change Proven experience running critical services in production and designing scalable, secure, and highly available systems Experience acting as a technical lead: defining solutions from scratch, shaping technical direction, and reviewing the work of other engineers Knowledge of modern software delivery approaches (e.g. Scrum, Kanban), with some understanding of spec driven development Excellent communication skills, enabling you to explain complex ideas clearly and influence both technical and non technical stakeholders Comfort working in complex environments with multiple priorities, and the resilience to adapt to continual change Highly desirable to have experience implementing bespoke data, machine learning or AI solutions from pilot through to operationalisation. Ideally hold a professional certification (e.g. cloud architect) in at least one major cloud data platform (e.g. GCP, Azure, AWS, Snowflake, Databricks) and will, ideally, be an active participant in that cloud's community. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. You'll help make breakthroughs possible-not just in laboratories, but in parliaments, communities and homes across the UK. Together, we're building a future where everybody lives longer, better lives free from the fear of cancer. Ready to use your voice to help save lives? We'd love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Internal applicants' eligibility criteria Internal candidates should ideally have completed their 6-month 'getting started' period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: completed their getting started period discussed their intention to apply and gained approval to apply with their line manager been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. Additional information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
May 23, 2026
Full time
Award-winning and bold innovation. Modern Tech-Stack. Impacting the future. Technical Lead - Artificial Intelligence £70,000 - £77,000 plus benefits Reports to: Head of Engineering Grade: P3 (MP) Directorate : Chief Operating Office Contract : 2 year fixed-term contract Hours: Full time 35 hours per week Location: Stratford, London , high flexibility. We know great work doesn't happen in just one place or one way. This role is designed to be highly flexible, with the opportunity to work largely remotely, alongside occasional time in our offices for collaboration when it adds the most value. Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. Closing date: 31 May 2026, 23:55. Note we are shortlisting on an ongoing basis - please do not delay applying for the role. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the application questions and work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: 3 stage interview process consisting of a screening call, role-based competency interview and technical task. At Cancer Research UK, we exist to beat cancer. At Cancer Research UK, we are a community of professionals with purpose. Every day, we push boundaries to beat cancer-yet we know we must go. Technical Lead - Artificial Intelligence At Cancer Research UK, we're harnessing the power of Artificial Intelligence to help beat cancer. From Generative and Agentic AI to machine learning, AI is becoming a transformative capability across our organisation - helping us work smarter, accelerate scientific discovery, and create more personalised and meaningful experiences for our supporters. This is a chance to take on a highly flexible Technical Lead role where you can apply your deep technical expertise to purposeful work, while enjoying the autonomy to work largely remotely and shape solutions that genuinely matter. About the role As a Technical Lead, you'll play a critical role in turning ambitious AI opportunities into high quality, scalable technology solutions. You'll work across the full lifecycle - from early stage ideas and proof of concepts through to production ready systems that are embedded into the organisation. You'll be accountable for technical quality and delivery, working in a highly matrixed environment alongside internal product teams and trusted external partners. Technology agnostic and adaptable, you'll help shape problem statements, align solution designs to our AI vision, and guide teams through complex technical decisions. This is a hands on leadership role that offers variety, influence, and the opportunity to help define how engineering practices evolve in the age of AI - all while supporting a mission that saves lives. What will I be doing? Act as Technical Lead for key AI initiatives at different stages - from emerging ideas and proofs of concept through to solutions ready to scale and operationalise Assess technical complexity, feasibility, and effort, helping teams make informed delivery decisions Identify where foundational changes to platforms or infrastructure are needed to unlock AI capabilities Work with Product Managers and colleagues to assess when and how to partner with external suppliers Collaborate closely with Product and Project Managers, Architects, UX and Service Designers, and Business Analysts to understand user needs and iteratively design effective solutions Provide technical assurance and constructive challenge for external technology partners Validate high level designs and support smooth transitions from design into delivery Produce low level designs, technical work plans, and documentation in line with delivery standards Proactively surface technical risks, issues, and dependencies to initiative leads Contribute significantly to testing strategies and plans to ensure solutions are robust, secure, and reliable What are we looking for? We're looking for someone who brings both strong technical leadership and a genuine interest in how AI can create real world value. You'll have: Experience delivering Commercial Off the Shelf (COTS) and Software as a Service (SaaS) solutions, from procurement through to live operation Recent, hands on experience writing clean, maintainable, and well tested code using proven design patterns The curiosity and adaptability to learn new languages, frameworks, and tools Deep technical expertise and the confidence to tackle complex problems independently A strong interest in AI and innovation, with the ability to role model how modern engineering practices can evolve to deliver greater impact Experience working across a range of domains, with the ability to context switch as priorities change Proven experience running critical services in production and designing scalable, secure, and highly available systems Experience acting as a technical lead: defining solutions from scratch, shaping technical direction, and reviewing the work of other engineers Knowledge of modern software delivery approaches (e.g. Scrum, Kanban), with some understanding of spec driven development Excellent communication skills, enabling you to explain complex ideas clearly and influence both technical and non technical stakeholders Comfort working in complex environments with multiple priorities, and the resilience to adapt to continual change Highly desirable to have experience implementing bespoke data, machine learning or AI solutions from pilot through to operationalisation. Ideally hold a professional certification (e.g. cloud architect) in at least one major cloud data platform (e.g. GCP, Azure, AWS, Snowflake, Databricks) and will, ideally, be an active participant in that cloud's community. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. You'll help make breakthroughs possible-not just in laboratories, but in parliaments, communities and homes across the UK. Together, we're building a future where everybody lives longer, better lives free from the fear of cancer. Ready to use your voice to help save lives? We'd love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Internal applicants' eligibility criteria Internal candidates should ideally have completed their 6-month 'getting started' period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: completed their getting started period discussed their intention to apply and gained approval to apply with their line manager been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. Additional information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
A Snapshot of Your Day Join Siemens Energy Gas and Power Services in Lincoln as a Senior HMI PC and Cyber Security Engineer, and take a leading role in modernising and upgrading Siemens Energy Small Gas Turbines. You'll build, develop, and support industrial Human Machine Interface (HMI) systems-both hardware and software-installing and testing standardised builds across Windows endpoints, servers, and clients. You'll work hands-on with engineering platforms like AVEVA Intouch, FactoryTalk Optix, Simatic PCS7, and WinCC, while strengthening system protection through Windows hardening, endpoint security, whitelisting, and secure backups. Your work helps raise quality, improve on-time delivery, and support safe commissioning in the field. How You'll Make an Impact You will install, configure, and test standardised HMI builds on Windows endpoints, servers, and clients using AVEVA Intouch, FactoryTalk Optix, Simatic PCS7, and WinCC You will apply cyber security measures including Windows hardening, endpoint security, whitelisting, and secure backups You will configure, develop, and test industrial networking components such as industrial firewalls and managed switches You will develop and maintain work instruction documentation for build configurations, and create/maintain information database(s) You will collaborate with Project Execution to improve quality and on-time delivery, and support Field Service during commissioning by resolving software/hardware issues found in testing What You Bring A degree (or equivalent professional accreditation/recognition) in an engineering discipline, ideally Computer Science, Control Systems, or Cybersecurity 1+ years of experience with industrial controls system applications such as Rockwell/Allen Bradley Control Logix, Siemens PCS7 Control Systems, AVEVA Intouch, and/or FactoryTalk Optix Familiarity with industrial networks and cyber security standards, frameworks, and regulations including IEC-62443, NCSC CAF, and the EU Cyber Resilience Act Working knowledge of change/configuration management tools and processes, plus experience with IT tools for business analytics and project management A systems engineering approach to product improvement (highly desirable) About the Team You'll join the Engineering team within Siemens Energy Gas and Power Services in Lincoln. The team is responsible for the build, development, and support of industrial HMI systems (hardware and software) used in the modernisation and upgrade of Siemens Energy Small Gas Turbines. You'll work closely with the Project Execution team to enhance quality and strengthen on-time delivery. You'll also support Field Service during commissioning by helping troubleshoot and fix issues found during testing. The wider business supports customers worldwide with services that improve the reliability and performance of rotating power equipment across wind, utility, oil & gas, and industrial processing industries. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character-no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Here are examples of the rewards and benefits Siemens Energy offers: Opportunities to work with a global team Opportunities to work on and lead a variety of innovative projects Medical benefits Remote/Flexible work Time off/Paid holidays and parental leave Continual learning through the platform Access to a variety of employee resource groups
May 23, 2026
Full time
A Snapshot of Your Day Join Siemens Energy Gas and Power Services in Lincoln as a Senior HMI PC and Cyber Security Engineer, and take a leading role in modernising and upgrading Siemens Energy Small Gas Turbines. You'll build, develop, and support industrial Human Machine Interface (HMI) systems-both hardware and software-installing and testing standardised builds across Windows endpoints, servers, and clients. You'll work hands-on with engineering platforms like AVEVA Intouch, FactoryTalk Optix, Simatic PCS7, and WinCC, while strengthening system protection through Windows hardening, endpoint security, whitelisting, and secure backups. Your work helps raise quality, improve on-time delivery, and support safe commissioning in the field. How You'll Make an Impact You will install, configure, and test standardised HMI builds on Windows endpoints, servers, and clients using AVEVA Intouch, FactoryTalk Optix, Simatic PCS7, and WinCC You will apply cyber security measures including Windows hardening, endpoint security, whitelisting, and secure backups You will configure, develop, and test industrial networking components such as industrial firewalls and managed switches You will develop and maintain work instruction documentation for build configurations, and create/maintain information database(s) You will collaborate with Project Execution to improve quality and on-time delivery, and support Field Service during commissioning by resolving software/hardware issues found in testing What You Bring A degree (or equivalent professional accreditation/recognition) in an engineering discipline, ideally Computer Science, Control Systems, or Cybersecurity 1+ years of experience with industrial controls system applications such as Rockwell/Allen Bradley Control Logix, Siemens PCS7 Control Systems, AVEVA Intouch, and/or FactoryTalk Optix Familiarity with industrial networks and cyber security standards, frameworks, and regulations including IEC-62443, NCSC CAF, and the EU Cyber Resilience Act Working knowledge of change/configuration management tools and processes, plus experience with IT tools for business analytics and project management A systems engineering approach to product improvement (highly desirable) About the Team You'll join the Engineering team within Siemens Energy Gas and Power Services in Lincoln. The team is responsible for the build, development, and support of industrial HMI systems (hardware and software) used in the modernisation and upgrade of Siemens Energy Small Gas Turbines. You'll work closely with the Project Execution team to enhance quality and strengthen on-time delivery. You'll also support Field Service during commissioning by helping troubleshoot and fix issues found during testing. The wider business supports customers worldwide with services that improve the reliability and performance of rotating power equipment across wind, utility, oil & gas, and industrial processing industries. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character-no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Here are examples of the rewards and benefits Siemens Energy offers: Opportunities to work with a global team Opportunities to work on and lead a variety of innovative projects Medical benefits Remote/Flexible work Time off/Paid holidays and parental leave Continual learning through the platform Access to a variety of employee resource groups
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
May 23, 2026
Full time
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
About us Lead Data Science Engineer United Utilities Location: Lingley Mere (Warrington) 3 days per week onsite Salary: Competitive + Bonus + Excellent Benefits United Utilities is transforming how data, intelligence and automation shape the future of water services for millions of customers. As we build a modern, ambitious analytics capability, we're looking for a Lead Data Science Engineer who can combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely lands this is the role for you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure and Databricks. Translating complex analysis into clear, compelling stories for both technical and non-technical audiences. Developing automated, secure and reliable analytical services that scale across the organisation. Setting standards for coding, reproducibility, ethics and model lifecycle management. Collaborating closely with data architects, engineers, managers and developers to shape a modern data ecosystem. Coaching and educating teams across the business to build trust in advanced analytics and strengthen data literacy. Leading by example through peer reviews, knowledge sharing and continuous improvement. What's in it for you 26 days annual leave, rising to 30 after four years, plus bank holidays Up to 14% employer pension contribution (21% combined) Up to 10.5% performance-related bonus Company-funded healthcare plan The opportunity to shape the future of data science in a major UK utility A collaborative, transparent and supportive environment where your ideas genuinely matter Ready to lead the future of data science at UU? If you want to apply advanced analytics, machine learning and AI to real world challenges and you enjoy leading conversations as much as writing code we'd love to hear from you. We may be unable to offer sponsorship for this role. We may be unable to offer sponsorship for this role.
May 22, 2026
Full time
About us Lead Data Science Engineer United Utilities Location: Lingley Mere (Warrington) 3 days per week onsite Salary: Competitive + Bonus + Excellent Benefits United Utilities is transforming how data, intelligence and automation shape the future of water services for millions of customers. As we build a modern, ambitious analytics capability, we're looking for a Lead Data Science Engineer who can combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely lands this is the role for you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure and Databricks. Translating complex analysis into clear, compelling stories for both technical and non-technical audiences. Developing automated, secure and reliable analytical services that scale across the organisation. Setting standards for coding, reproducibility, ethics and model lifecycle management. Collaborating closely with data architects, engineers, managers and developers to shape a modern data ecosystem. Coaching and educating teams across the business to build trust in advanced analytics and strengthen data literacy. Leading by example through peer reviews, knowledge sharing and continuous improvement. What's in it for you 26 days annual leave, rising to 30 after four years, plus bank holidays Up to 14% employer pension contribution (21% combined) Up to 10.5% performance-related bonus Company-funded healthcare plan The opportunity to shape the future of data science in a major UK utility A collaborative, transparent and supportive environment where your ideas genuinely matter Ready to lead the future of data science at UU? If you want to apply advanced analytics, machine learning and AI to real world challenges and you enjoy leading conversations as much as writing code we'd love to hear from you. We may be unable to offer sponsorship for this role. We may be unable to offer sponsorship for this role.
CBSbutler Holdings Limited trading as CBSbutler
Nursling, Hampshire
AI / ML Engineer + 50,000 - 72,000 DOE + Excellent Benefits + Southampton + Hybrid Working Patterns You will join a high technology defence consultancy as an AI/ML Engineer and work alongside their customers to solve their complex and unique challenges. You will be an experienced researcher or developer with a strong interest in state-of-the-art AI and Machine Learning technologies. The AI/ML Engineer is responsible for delivering novel solutions to our customers challenging problems (Technically Complex or Novel Research), leading teams of engineers in delivering a mixture of small, early-stage research projects and algorithmic components of larger, multi-disciplinary development programmes. You'll be primarily "hands on" and actively providing technical expertise across a broad range of AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs and NLP. Due to the sector you will need to be eligible for SC Clearance. The Key Requirements Proven experience in AI/ML R&D (e.g. computer vision, reinforcement learning, NLP, also including Large Language Models). Significant experience conceiving novel applications of AI/ML techniques, particularly adapting and applying academic research. Strong understanding of and experience in software engineering - Experience of working in, and leading, agile teams and delivering complexity at pace. This includes experience developing with widely used software tooling and development languages (including Python).
May 22, 2026
Full time
AI / ML Engineer + 50,000 - 72,000 DOE + Excellent Benefits + Southampton + Hybrid Working Patterns You will join a high technology defence consultancy as an AI/ML Engineer and work alongside their customers to solve their complex and unique challenges. You will be an experienced researcher or developer with a strong interest in state-of-the-art AI and Machine Learning technologies. The AI/ML Engineer is responsible for delivering novel solutions to our customers challenging problems (Technically Complex or Novel Research), leading teams of engineers in delivering a mixture of small, early-stage research projects and algorithmic components of larger, multi-disciplinary development programmes. You'll be primarily "hands on" and actively providing technical expertise across a broad range of AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs and NLP. Due to the sector you will need to be eligible for SC Clearance. The Key Requirements Proven experience in AI/ML R&D (e.g. computer vision, reinforcement learning, NLP, also including Large Language Models). Significant experience conceiving novel applications of AI/ML techniques, particularly adapting and applying academic research. Strong understanding of and experience in software engineering - Experience of working in, and leading, agile teams and delivering complexity at pace. This includes experience developing with widely used software tooling and development languages (including Python).
Process Automation & Digitalization Specialist Location: Manchester Rate: 30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
May 22, 2026
Contractor
Process Automation & Digitalization Specialist Location: Manchester Rate: 30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
May 22, 2026
Full time
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Data Architect - Hybrid - Bristol - 80k - 88k + Bonus + Excellent Benefits I'm seeking an experienced Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud-first data strategy. You'll be responsible for designing, implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration skills Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office / 3 days home) 25 days annual leave + bank holidays (increasing over time) Enhanced pension Flexitime & flexible working options Electric car salary sacrifice scheme Healthcare cash plan Life assurance (4x salary) Discounts on insurance products and retailers Cycle to Work Scheme, community support days & social events If you are interested in this role or looking for something similar, please contact Alex MacDermott directly. If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
May 22, 2026
Full time
Data Architect - Hybrid - Bristol - 80k - 88k + Bonus + Excellent Benefits I'm seeking an experienced Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud-first data strategy. You'll be responsible for designing, implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration skills Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office / 3 days home) 25 days annual leave + bank holidays (increasing over time) Enhanced pension Flexitime & flexible working options Electric car salary sacrifice scheme Healthcare cash plan Life assurance (4x salary) Discounts on insurance products and retailers Cycle to Work Scheme, community support days & social events If you are interested in this role or looking for something similar, please contact Alex MacDermott directly. If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Here, we craft excellence together. If you're ready to take your career to new heights and be part of a company that's crafting the future of flight, apply today. Why Safran? A global presence: Be part of a global aerospace, defence & space business with over 100,000 Colleagues, across 300 sites in 30 countries. Inclusive & empowering environment: We celebrate our differences and believe they make us stronger. We know that a fulfilling work environment is a key driver for innovative ideas and team success. Innovation at the core: Join our mission to decarbonise aerospace and make the world a safer place. Your ambitions can take us further. Mobility & training opportunities: We can support your ambitions with training, development, a personalised career plan and mobility opportunities. If you have big dreams, we'll support you to make them a reality. A culture of excellence: Join a team that values collaboration, integrity, and continuous improvement. Whatever your background, together we aim for excellence. Get involved: We also have a number of groups and forums across our sites that you can get involved with, including Women at Safran, Diversity at Safran, Sports Clubs, STEM ambassadors, Employee Forum, Charity Partnerships and Wellbeing Programs. General Assembly Apprentice Pitstone Full-Time Onsite Skills: Manufacturing, Assembly, Engineering, Quality, Inspection, Technical Drawings Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including: Early finish on Fridays Competitive salary and annual bonus and pay review 25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Safran - Here, we craft excellence together. At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation. Your Role As a General Assembly Apprentice, you will gain hands-on experience across a variety of manufacturing and assembly techniques while working towards a Level 3 Engineering Technician qualification with a local College. This is a 42-month apprenticeship programme, combining on-the-job training with classroom-based learning. What you'll be doing: Completing rotational placements across manufacturing and repair areas Learning to produce and refurbish aerospace components and assemblies Interpreting engineering drawings and planning work activities Developing skills in assembly, inspection, testing, balancing and winding Working to aerospace quality standards and internal processes Operating machinery in line with standard operating procedures Following all health & safety requirements Contributing to team performance and continuous improvement Additional programme details: Years 1-3: 1 day per week at College, 4 days onsite in Pitstone Exposure to support functions including Quality, Manufacturing Engineering, Product Industrialisation and Logistics Assigned mentor and buddy for ongoing support Regular reviews with college, management, mentor and HR What You'll Bring Relevant technical background or interest in engineering Strong attention to detail and quality-focused approach Good communication skills (verbal and written) Ability to work independently and as part of a team Strong organisation and planning skills You will be somebody who is: Enthusiastic and willing to learn and develop new skills Proactive, with a continuous improvement mindset Curious and willing to ask questions and learn from others Motivated to achieve high standards and contribute to team success Please note: Successful candidates must meet the college entry requirements, including English and Maths at Level 2 minimum.
May 22, 2026
Full time
Here, we craft excellence together. If you're ready to take your career to new heights and be part of a company that's crafting the future of flight, apply today. Why Safran? A global presence: Be part of a global aerospace, defence & space business with over 100,000 Colleagues, across 300 sites in 30 countries. Inclusive & empowering environment: We celebrate our differences and believe they make us stronger. We know that a fulfilling work environment is a key driver for innovative ideas and team success. Innovation at the core: Join our mission to decarbonise aerospace and make the world a safer place. Your ambitions can take us further. Mobility & training opportunities: We can support your ambitions with training, development, a personalised career plan and mobility opportunities. If you have big dreams, we'll support you to make them a reality. A culture of excellence: Join a team that values collaboration, integrity, and continuous improvement. Whatever your background, together we aim for excellence. Get involved: We also have a number of groups and forums across our sites that you can get involved with, including Women at Safran, Diversity at Safran, Sports Clubs, STEM ambassadors, Employee Forum, Charity Partnerships and Wellbeing Programs. General Assembly Apprentice Pitstone Full-Time Onsite Skills: Manufacturing, Assembly, Engineering, Quality, Inspection, Technical Drawings Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including: Early finish on Fridays Competitive salary and annual bonus and pay review 25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Safran - Here, we craft excellence together. At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation. Your Role As a General Assembly Apprentice, you will gain hands-on experience across a variety of manufacturing and assembly techniques while working towards a Level 3 Engineering Technician qualification with a local College. This is a 42-month apprenticeship programme, combining on-the-job training with classroom-based learning. What you'll be doing: Completing rotational placements across manufacturing and repair areas Learning to produce and refurbish aerospace components and assemblies Interpreting engineering drawings and planning work activities Developing skills in assembly, inspection, testing, balancing and winding Working to aerospace quality standards and internal processes Operating machinery in line with standard operating procedures Following all health & safety requirements Contributing to team performance and continuous improvement Additional programme details: Years 1-3: 1 day per week at College, 4 days onsite in Pitstone Exposure to support functions including Quality, Manufacturing Engineering, Product Industrialisation and Logistics Assigned mentor and buddy for ongoing support Regular reviews with college, management, mentor and HR What You'll Bring Relevant technical background or interest in engineering Strong attention to detail and quality-focused approach Good communication skills (verbal and written) Ability to work independently and as part of a team Strong organisation and planning skills You will be somebody who is: Enthusiastic and willing to learn and develop new skills Proactive, with a continuous improvement mindset Curious and willing to ask questions and learn from others Motivated to achieve high standards and contribute to team success Please note: Successful candidates must meet the college entry requirements, including English and Maths at Level 2 minimum.
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to £120,000 + bonus + Benefits Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (eg Mistral, Qwen, PHI, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning/LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI/LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (eg HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
May 22, 2026
Full time
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to £120,000 + bonus + Benefits Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (eg Mistral, Qwen, PHI, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning/LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI/LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (eg HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
A Snapshot of Your Day Join our Rotor Build team as a Senior Para-Professional, where your expertise will play a crucial role in enhancing our production capacity to meet the growing demand for gas turbines. You will engage in precision mechanical assembly of gas turbine rotors, ensuring that every component is crafted to exact engineering specifications. Imagine utilizing your skills in quality control and inspection to uphold our high standards while also providing operational support through troubleshooting and process improvement. Your contributions will not only help us achieve our manufacturing targets but also foster a safe and efficient production environment. How You'll Make an Impact You will assemble and fit complex components for gas turbine rotors, following detailed engineering drawings and work instructions. Utilize a variety of hand tools, power tools, and specialized tooling to perform precise mechanical fitting tasks. Set up and operate machinery and equipment for the rotor build process, ensuring correct alignment and tolerances. Conduct in-process quality checks and inspections using precision measuring instruments like micrometers and calipers. Troubleshoot and resolve routine and non-routine assembly problems to minimize production downtime and enhance operational efficiency. What You Bring You have completed a formal apprenticeship or hold a vocational qualification (e.g., NVQ Level 3) in Mechanical Engineering or a related skilled trade. You bring demonstrable experience as a Mechanical Fitter in a high-precision manufacturing or engineering environment. You are proficient in interpreting assembly drawings and using precision measurement tools. You have experience working under limited supervision and analyzing non-routine technical problems. Your technical abilities include mechanical aptitude, hand tool operation, and troubleshooting skills. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character-no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Here are examples of the rewards and benefits Siemens Energy offers: Opportunities to work with a global team Opportunities to work on and lead a variety of innovative projects Medical benefits Remote/Flexible work Time off/Paid holidays and parental leave Continual learning through the platform Access to a variety of employee resource groups
May 22, 2026
Full time
A Snapshot of Your Day Join our Rotor Build team as a Senior Para-Professional, where your expertise will play a crucial role in enhancing our production capacity to meet the growing demand for gas turbines. You will engage in precision mechanical assembly of gas turbine rotors, ensuring that every component is crafted to exact engineering specifications. Imagine utilizing your skills in quality control and inspection to uphold our high standards while also providing operational support through troubleshooting and process improvement. Your contributions will not only help us achieve our manufacturing targets but also foster a safe and efficient production environment. How You'll Make an Impact You will assemble and fit complex components for gas turbine rotors, following detailed engineering drawings and work instructions. Utilize a variety of hand tools, power tools, and specialized tooling to perform precise mechanical fitting tasks. Set up and operate machinery and equipment for the rotor build process, ensuring correct alignment and tolerances. Conduct in-process quality checks and inspections using precision measuring instruments like micrometers and calipers. Troubleshoot and resolve routine and non-routine assembly problems to minimize production downtime and enhance operational efficiency. What You Bring You have completed a formal apprenticeship or hold a vocational qualification (e.g., NVQ Level 3) in Mechanical Engineering or a related skilled trade. You bring demonstrable experience as a Mechanical Fitter in a high-precision manufacturing or engineering environment. You are proficient in interpreting assembly drawings and using precision measurement tools. You have experience working under limited supervision and analyzing non-routine technical problems. Your technical abilities include mechanical aptitude, hand tool operation, and troubleshooting skills. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character-no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Here are examples of the rewards and benefits Siemens Energy offers: Opportunities to work with a global team Opportunities to work on and lead a variety of innovative projects Medical benefits Remote/Flexible work Time off/Paid holidays and parental leave Continual learning through the platform Access to a variety of employee resource groups
