241 jobs found

Bristol An exciting role for a Systems Engineer to be involved in a variety of projects developing ground breaking technologies through the use of Modelling & Simulation. With opportunities to support field trials and work with a dedicated team of Engineers to help your own career development this role is one not to be missed! Salary: From £ 40,000 to £58,000 depending on experience Dynamic (hybrid) working: 3-5 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: We are looking for Systems Engineers to join a growing team to perform activities including modelling, algorithm development and systems studies. Our work covers simulation and modelling of the entire Seeker chain from radar propagation, to hardware response, to the embedded software algorithms on-board the Seeker. These algorithms are developed in, and auto-coded directly from our models, allowing us to rapidly test, iterate, and deliver sophisticated defence capability. There are roles available across multiple Seeker programmes, from those in the early concepting phase (including developing groundbreaking technologies like Active Electronically Scanned Arrays (AESAs) and highly integrated multi-mode sensors), through assessment and development phases (such as Future Cruise Anti-Ship Weapon FC/ASW) and, supporting spiral development on our in-service phase Seekers. You may have the opportunity to get involved in a variety of other activities within our department including support to field trials and lab testing. There are numerous progression and development opportunities available, as well as interaction with stakeholders across a dynamic multi-national engineering team. We are also looking for more experienced engineers wishing to develop their leadership skills across teams and work packages. What we're looking for from you: Degree level qualification in a STEM subject or equivalent experience Modelling and Coding with proficiency in MATLAB Algorithm Development Data Analysis and Technical Report Writing Desirable experience: Advanced MATLAB Proficiency in Simulink including Embedded Coder Formal software or firmware development experience, especially C and HDL Knowledge of RF systems and digital signal processing Model verification, configuration control and model release processes Continuous Integration and Testing Machine Learning and AI You will be an adaptable and proactive individual who enjoys finding innovative solutions to complex engineering problems. Most importantly, if you have a passion for the industry and technology, then we want to see you! Our department is an encouraging community, in which you can develop your skills, gain experience and progress your career, giving you exposure to some incredible technologies and products. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Join our Weapon System team at MBDA as an Algorithm Developer, working on innovative battle-winning technology. Salary: Circa £55,000 depending on experience Dynamic (hybrid) working: 4 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime:opportunity for paid overtime Flexi Leave:Up to 15 additional days Flexible working:We welcome applicants who are looking for flexible working arrangements Enhanced parental leave:offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity: As an Algorithm Developer here at MBDA, you will join a dynamic team who are integral to our advanced weapon system development. You will be part of a specialist group that uses product knowledge and system analysis to develop algorithms that ensure we're ahead of the competition within sophisticated weapon systems, using ground breaking algorithm technology such as machine-learning and artificial intelligence. You will: Design, develop and test mathematical algorithms using Matlab/Simulink and Python Interpret technical specifications and collaborate with other departments to understand how the algorithms will be used, and especially with the software team to define how they will be implemented Influence the way we develop algorithms within the team and more widely within MBDA Demonstrate a dedication to quality through progressive thinking and rigour What we're looking for from you: Any experience in the following areas would be beneficial: Mathematical analysis / modelling Numerical simulation Data Science, especially machine learning Geospatial data and/or geographical information systems Software development A numerate graduate or post-graduate qualification Ability and confidence to work with mathematics A commitment to product quality and the procedures we follow to ensure it A desire to make an impression within the MBDA engineering community Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Disability, Neurodiversity and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester

Bristol As an Algorithms Engineer, you will have the opportunity to work on advanced technologies and create solutions in the field of Radio Frequency (RF) Seekers! Salary: Circa £45,000 to £58,000 depending on experience Dynamic (hybrid) working: Typically 4 days per week on-site, due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: Maximum total (employer and employee) contribution of up to 14% Overtime: Opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: Offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity: We have a number of exciting opportunities for various levels of experienced Systems Engineers to join our growing Radio Frequency (RF) Seekers team. You'll be performing activities including algorithm development and systems studies. This is an exceptional chance to be part of multiple Seeker programmes, including STRATUS - LO and Brimstone, and contribute to the development of Active Electronically Scanned Arrays (AESA) and highly integrated multi-mode sensors. What makes this opportunity truly unique is the scope it offers for innovation and technical growth. You will have the chance to get involved in a variety of systems tasks, driving the technical scope of the programmes. As part of our specialist and diverse team, you will have many opportunities to develop your skills, and be fully supported in doing so. We are looking for individuals who are passionate about the industry and technology, and we are committed to helping you build a successful career while working with incredible technologies and products. As part of the role, you will be involved in a number of activities including many of the following: Develop algorithms and ensure they are fit for purpose Conduct studies to identify any enhancements and propose future improvements Collaborate with individuals from various areas of expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products What we're looking for from you: Essential experience: Algorithm development MATLAB Experience Identification, Planning and Running of investigations to inform systems design Data analysis Desirable experience, but not essential: Modelling and coding (Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the Technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring. Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate with product and business teams to translate requirements into practical ML solutions. Profile Machine Learning Engineer - London A successful Machine Learning Engineer should have: Strong foundation in machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic AI systems and integrating models with external services Comfortable owning the full ML lifecycle, from data preparation to production deployment Clear communicator who can work effectively across technical and non-technical teams Job Offer Machine Learning Engineer - London Competitive salary ranging from 75,000 to 95,000 per annum. Comprehensive benefits package to support your well-being. Opportunity to work in a leading organisation within the insurance industry. Collaborative and innovative work environment in London. Chance to work on impactful projects using the latest technologies. If you're a passionate Machine Learning Engineer looking to make a difference in the Technology sector, we encourage you to apply and be part of this exciting opportunity in London

We are recruiting a Data Scientist to be embedded in our Fairer Start Mission. About Nesta We are Nesta, the UK's innovation agency for social good. We design, test and scale solutions to society's biggest problems. Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet. For over 20 years, we have worked to support, encourage and inspire innovation. We work in three roles: as an innovation partner working with frontline organisations to design and test new solutions, as a venture builder supporting new and early stage businesses, and as a system shaper creating the conditions for innovation. Harnessing the rigour of science and the creativity of design, we work relentlessly to change millions of lives for the better. Find out more at nesta.org.uk . The role Nesta's Fairer Start Mission is looking for a Data Scientist to lead projects that bring the best approaches from data science and analytics to impact our mission goal. Our work is highly varied, and could include training machine learning models, building web applications, or using a range of analytical techniques to answer questions and generate solutions to tough policy challenges. In the early years, this often means extracting insights from unstructured reports, administrative data, and complex research projects, and turning them into actionable insights for policy makers, local authorities, and individuals. This is an opportunity to play a role in delivering data science projects. If you have a strong background working with data and are motivated by deploying creative data science solutions, as well as contributing to real-world outcomes for public benefit, then this role is for you. The team In Nesta's 'A Fairer Start' mission, our goal is that every child in the UK has the same chance of developing to their full potential in the early years. Working across government, local authorities, academics, and the private sector, we deliver a range of projects to achieve our mission goal by 2030. The person We are a team of analytical and technical experts from a range of backgrounds bound by the drive to use our expertise to have social impact. A strong candidate for this role will be interested in putting their analytical and data science skills to work to achieve impact in the early years. Working as part of a wider community of data scientists and quantitative researchers, you will be supported to exercise a significant range of techniques and select the most appropriate methods for the task at hand. You will be used to working flexibly and quickly, adapting to new domain and project contexts alongside your colleagues. Critically, this role requires strong applied research skills - the ability to deliver work to the rigor and standards necessary for impact while working closely and collaboratively with other members across the team and wider organisation. We don't expect you to be an expert at this stage, but we want you to come to Nesta with a growth mindset where you are ready to experiment and learn. As a Data Scientist at Nesta you will: Deliver analytical components of projects that advance the A Fairer Start mission, ranging from research and analysis to machine learning modeling; Build pipelines, clean and analyse datasets using appropriate tools and methods, from wrapping APIs to scraping unstructured data; Develop clear and informative data visualisations and outputs; Design and scope projects in collaboration with technical colleagues, domain experts and practitioners from other disciplines; Communicate outputs of your work to a wide range of internal and external audiences; Work in a multidisciplinary team, collaborating with designers, behavioural scientists and researchers; Alongside other quantitative and data science specialists, ensure that all quantitative analysis work is reproducible, sustainable, and ethically considered help the team stay at the cutting edge by keeping abreast of new techniques and developments in the field and seeking ways to use them; Skills and Qualifications Experience programming in Python; Experience using data and evidence to drive policy development or decision making; Strong data analysis skills, which might include machine learning, statistical methods, causal inference or other techniques; Ability to scope and prioritise research questions to maximise impact, balancing methodological rigour with practical resource limitations; Willingness to be an active team member who collaborates with others and contributes to strengthening team connections; Ability to apply data science approaches that will solve problems and answer questions; Ability to communicate with technical and non-technical stakeholders, with evidence of clear and structured written outputs such as blogs, reports or papers; Experience of working in multi-disciplinary teams making use of mixed research or innovation methods; Experience using Git and GitHub (or equivalent) for version control. Desirable A Bachelor or Masters qualification in a relevant quantitative discipline and relevant experience in academia, industry or public/third sector; Knowledge of early childhood development or UK early years policy; A degree of experience of data engineering methods such as scalable data collection (e.g. APIs, web-scraping), data pipeline technologies (e.g. Airflow, Luigi, Metaflow) or database management systems (SQL or NoSQL); Experience of working in a policy context for a consultancy, think tank or other fast paced research environment. What we offer Salary: £38,600 - £53,000 (offers are expected to be made at the bottom of the band) plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more Location : This role is based in London, hybrid working arrangement with a minimum of two days in the office Term : Permanent Hours: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Reports to: Senior Data Science Lead, A Fairer Start Flexibility: This role is available to be a job-share. Making an application To apply for this role, please submit your application before 8am on 1st June 2026. First round interviews will take place the week commencing 22nd June 2026. At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you'd like to explore.

Job Title: Operations Manager Location: Sharston, M22 4SN Salary : £45,000 - £60,000 per annum, dependent on experience Job type: Full time, Permanent About Us: Established in 2000, Express Solicitors is an award winning, no win no fee law firm specialising exclusively in personal injury claims. Headquartered in Manchester, we support clients nationwide across all areas of personal injury, including employers' liability, serious injury, clinical negligence, occupiers' and public liability, road traffic accidents and industrial disease. We are ranked 64th in The Lawyer UK Top 200, out of more than 10,000 law firms nationwide, and after achieving a 20% year on year growth, Express Solicitors are the largest personal injury claimant firm in the UK. Our commitment to outstanding client care is reflected in our Trustpilot rating of 4.8 (Excellent), placing us among the highest rated firms in the sector. About The Role: Due to continued growth and expansion, we are seeking an experienced and driven Operations Manager. The Operations Manager is responsible for driving data-led decision making, systems performance, and cross-functional operational support across the firm. This role sits at the intersection of technology, data, legal operations, and business process - providing the analytical rigour and operational structure that enables both legal and non-legal functions to operate effectively. The Operations team also handles key business processes in support of other business functions and this role will involve the management of both data focussed and more traditional operations roles Responsibilities: Responsible for the firm's operational data infrastructure, ensuring accuracy, consistency, and accessibility of business-critical data across systems. Lead the development and governance of management information (MI) reporting, providing actionable insight to senior management and department heads. Leadership of the data analytics team in production and maintenance of dashboards and reporting tools (e.g. Power BI, SQL-based reports). Working with various stakeholders directly and in through supervision of the data team to identify improvements and additions to existing reporting suites. Liaise with compliance and risk functions to ensure operational processes reflect regulatory requirements (e.g. SRA, GDPR). Working with the Development team, Business Analyst, Project Manager as required to ensure a joined-up approach to systems and compliance. Lead or contribute to firmwide operational projects such as system migrations, reporting re-platforming, or process standardisation initiatives. Maintain operational process documentation and ensure procedures are kept current, accessible and adhered to. Monitor operational risk indicators and escalate emerging issues to senior management with appropriate remediation recommendations. Contribute to the firm's AI and data strategy, including identification of use cases, vendor assessment, and governance framework development. Work with other companies within the group to ensure effective systems and data management between companies. Person Specification: Experience in senior operations roles, ideally within a legal or other professional services firm. Demonstrable expertise in data management, MI reporting, and business intelligence tools (e.g. Power BI, Tableau, or equivalent). Strong working knowledge of relational databases and querying (SQL), with an ability to interrogate and manipulate data to derive business insight. Experience using case management systems or CRM and understanding how data flows in and out of such systems. Experience managing or influencing cross-functional operational projects in an environment with multiple stakeholder groups. Strong commercial awareness with an understanding of how operational performance connects to financial outcomes. Comfortable working with analytics, data and reporting tools to translate information into clear business insights. Familiarity with AI and machine learning tools in an operational or analytical context including, document processing, predictive analytics, or LLM-based workflow augmentation. Understanding of cybersecurity and data security principles as they relate to data governance and system access management. Hours: Our standard working hours are 8:30am to 5:30pm Monday-Thursday and 8:30am to 5pm Friday. Benefits: Hybrid Working - 3/2 hybrid working pattern after probation. 23 Days Holiday - Rising to 26 days, plus bank/public holidays. Extra Holidays - 3 holiday buy backs and an extra day for your birthday after service length requirement. Looking After Your Well-being - 24/7 onsite Gym, Netball/Football team, 10km Manchester team and more. Work Life / Balance - Active social committee with generous departmental and firm-wide social budget. Recruitment Process: Interviews will be conducted by MS Teams and will include scenario-based questioning. Please click APPLY to be redirected to our website to complete your application. Candidates with the relevant experience or job titles of; Operations General Manager, Ops Manager, Senior Operations Executive, Legal Operations Manager, Professional Services Operations Manager, Business Management, Business Operations Leader may also be considered for this role.

Data Analyst LOCATION: London (Monday-Thursday in the office, Friday remote) CONTRACT: Full-time SALARY: £37,000-£47,000 START DATE: Summer 2026 About More in Common More in Common is a research agency working across the US, UK, Germany, France and Poland to tackle polarisation and division. More in Common leads and supports initiatives to build more united, inclusive, and resilient societies. Our mission is to understand the forces driving us apart, help societies find common ground and bring people together to tackle shared challenges. In the UK, our work is best described as being part consultancy and part think tank. We provide a full suite of research services including polling and focus group research; evidence reviews and secondary data analysis; audience mapping and audience strategy; strategic communications strategy and campaign development. More in Common are members of the British Polling Council. Our work is informed by our ground-breaking segmentation of the British public. This unique values-based lens to our quantitative and qualitative research means we can understand not only what the public thinks of the big challenges facing British society today - but crucially why they think it. Our insights help leaders in government, the media, business, and civil society to develop better strategies and communications - particularly in reaching disengaged communities far from the Westminster/London bubble - and to better navigate tricky and divisive issues. Over the last year, More in Common has published agenda-setting thought leadership on a whole range of debates facing British society - including exploring the public's starting points on assisted dying and immigration; understanding how the British public is navigating major debates from trans and gender identity to the conflict in Israel and Palestine; and our political research has helped policymakers and politicians understand the dramatic fragmentation of our politics. Our work is regularly covered in the British press and media and we've developed a series of partnerships with broadcasters and newspapers to deliver top-quality research insights. In the 2024 General Election, we were among Britain's most accurate pollsters and used our focus group research to put people and public opinion at the centre of coverage of the election campaign. Through our consultancy, More in Common has also supported dozens of partners with insights and strategic communications support. We've helped national institutions such as the BBC, British Library and National Trust to better understand their audiences, we've helped partners in government and civil society with the set-up and delivery of the Homes for Ukraine scheme, and we've supported a range of partners to test their policy proposals from the National Farmers Union to Rethink Mental Illness among many others. In 2026, More in Common has a range of exciting projects in the pipeline, including: Understanding the key dynamics of local elections in England and Scottish and Welsh Parliament elections, and the political landscape continues to fracture. Embedding our new Seven Segments with a wider range of organisations, including developing new products and trainings to help people understand the segments. Helping navigate declining trust in institutions, for example exploring why trust in universities and science appears to be falling. Diversity + Equity + Inclusion We will have a better chance of uniting divided societies if our team reflects a broad range of social and cultural backgrounds, beliefs, political opinions, and life experiences. We particularly encourage applications from underrepresented and minority communities More in Common wants to meet the aims and commitments set out in our equality policy. This includes not discriminating under the Equality Act 2010. We will include a set of questions related to this in our email acknowledging your application for this role - this will help us understand the diversity of our job applicants. Answering these questions are completely voluntary and anonymous. The information provided will be kept confidential and will not be linked to your application. The information is going to be used to help us understand the diversity of our organisation. About this role More in Common is seeking a full-time Data Analyst as we grow our team and advance our mission of building a more united and inclusive UK, where all people feel respected, better understood, and share a sense of belonging. More in Common UK is a small team with a start-up culture where everyone is expected to execute a range of responsibilities. The Data Analyst will serve as a key member of the UK team, supporting our core areas of research, communications, partnership, and client work. They will help us to develop our technical expertise, with new statistical modelling approaches to understanding public opinion and new software scripts to automate our workflows. The role will be based in our London office Monday-Thursday with Friday at the office or working at home. The postholder will report to our Research and Analysis Manager. Analysis Translating public opinion data into insights for diverse audiences including policymakers, media, and the general public Performing analysis using techniques including cluster analysis, multi-level regression modelling, conjoint analysis and MaxDiff analysis Telling compelling stories through creative data visualisation Supporting other members of the team with data and analysis requests, and proactively expanding the team's analytical capabilities Research Conducting quantitative fieldwork including survey drafting and executing advanced survey experiments Leading the data and analysis elements of major research projects, from design to execution, analysis and presentation of insights Upholding a culture of best research practice, including supporting global colleagues with research queries Continually innovating on More in Common's research methodologies Qualifications and experience We look for great people before we look for specific qualifications and experience - so we are always open to applications from candidates with great potential but limited experience. Nonetheless, the following are the key elements we're looking for: Advanced coding proficiency, including machine learning techniques Demonstrated expertise extracting meaningful insights from complex data sets Strong data visualisation skills, with the ability to communicate insights to diverse audiences A desire to work in a fast-paced environment Experience interpreting quantitative data and producing outputs that tell a compelling story from this data. Good understanding of statistical methods including regression modelling and hypothesis testing Keen interest in learning new analytical techniques Curiosity for understanding and engaging people, and a desire to use data to tell insightful stories about Britain today An understanding of the UK political system and a keen interest in current affairs and UK public policy is desirable We understand that not everyone with the required skillset with this role will come from a political background - that is fine! We are more interested in your technical skillset and your willingness to apply it to tackling some of the biggest issues in understanding the forces driving British society apart. How to apply The application deadline is Monday 25 May 23:59 . Applications should include a short cover letter (max. one page) and a CV. Please apply using the link provided Indicative Timeline (please note these dates remain subject to change) Initial conversation with a hiring manager - w/c 25 May Interviews: w/c 1 June We expect to make an offer to the successful candidate by early June

AI Engineer Location: London or Newcastle Offices(Hybrid) Salary: £70,00 - £75,000+ benefits 20% employer pension contribution I'm working with a well known public sector organisation undergoing significant AI development, looking to hire an AI Engineer to shape and scale their AI capability and lead a newly established team. This is a pivotal leadership role where you'll define the vision, architecture, and roadmap for AI platforms across the business. You'll work closely with data, engineering, and product teams to enable the development and deployment of machine learning and AI solutions that drive real organisational impact. Key areas you'll work with from day one are Microsoft copilot studios & Foundry. The AI Engineer should have experience in: Strong experience in AI/ML platform or data platform teams Experience with Terraform, VNets, Networking Experience with cloud platforms (Azure, AWS, or GCP) Strong stakeholder management and communication skills Experience shaping platform strategy and driving adoption across organisations

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).

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

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

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.

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.

Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager

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.