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Description Programme Name: LCST Location: Bristol / Hybrid Are you ready for your next career challenge?.. Role Overview: We are seeking a Senior Subcontract Manager who will provide senior supply chain leadership for the end-to-end subcontract lifecycle on a complex, high-value Defence programme. Owning governance, risk management and assurance for a portfolio of strategically important subcontractors, ensuring robust flow-down of customer requirements, compliance with company and programme controls, and delivery of best-value outcomes. Acting as a trusted advisor to programme leadership and change teams, shaping commercial strategy and enabling delivery while protecting Leidos’ contractual and reputational position. Duties and Responsibilities: • Own and lead the end-to-end subcontract lifecycle for a portfolio of critical and/or high-risk subcontractors (strategy, sourcing support, negotiation, award, administration, change control, performance management and close-out), • Lead complex negotiations (terms & conditions, statements of work, pricing, delivery, IP/licensing, liability and flow-down obligations), securing outcomes aligned to programme objectives and Leidos risk appetite, • Provide programme-level subcontract governance and assurance: establish/maintain the subcontract management approach, controls, templates and cadence; ensure contract file integrity, approvals, and auditable records, • Translate customer requirements and direction into compliant subcontract actions (including modifications, change proposals and notices), ensuring timely flow-down and clear accountability for delivery, • Identify, quantify and manage commercial and contractual risk; develop mitigation plans; escalate material issues appropriately and brief senior stakeholders with clear options and recommendations, • Manage supplier relationships for key subcontractors, driving performance, issue resolution and continuous improvement; support recovery plans where delivery, quality or service levels are at risk, • Partner with internal functions to provide integrated commercial advice, aligning subcontract actions to programme performance, cost control and customer commitments, • Support new business and proposals by shaping subcontracting strategy, assessing commercial risk, preparing compliant bid inputs and negotiating preferred supplier positions, • Coach and develop junior commercial/subcontracts staff to build capability across the function, • Contribute to functional improvement: identify opportunities to streamline processes, strengthen controls and improve cycle times/quality across subcontracting activities Impact / Authority • Operates with significant autonomy within delegated authority, making decisions that impact programme cost, schedule, performance and risk, • Owns outcomes for assigned subcontract portfolio; leads cross-functional resolution of complex issues spanning multiple specialties, • Influences programme leadership and stakeholders on commercial approach, risk posture and solution options Required Skills: • MCIPS (or working towards) / equivalent professional accreditation, • Demonstrable experience leading complex subcontract negotiations and managing a portfolio of subcontract types and value/risk profiles, • Strong understanding of contractual principles, flow-down of customer requirements, change control and subcontract governance controls, • Proven ability to identify and manage commercial risk, develop mitigation strategies and communicate recommendations to senior stakeholders, • Strong business acumen; ability to understand and articulate commercial impacts on programme performance and adjacent functions, • Excellent stakeholder management and communication skills; credible with senior supplier and internal leadership audiences, • Ability to manage competing priorities, work independently with minimal oversight, and maintain high standards of quality and compliance, • Day to Day procurement management within business system aligned to contract with change and delivery Desired Skills: • Experience in Defence / government contracting environments and complex supply chains, • Experience supporting contract change / proposal activity and supplier strategy development Clearance Requirements: * BPSS pre-screening required to Start * SC required for the role Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexible Working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The ___ for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £58,400.00-£74,900.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Requisition ID 63608 Position Type FT Permanent Workplace Arrangement #LI-Onsite Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. We are currently recruiting for two multi-skilled or electrically biased Maintenance Technicians to the join the Engineering Team at our Portbury production facility in Bristol. The facility is a dry blending and mixing production facility where we create flavour blends for some of the world's best loved brands, 100's of tonnes of product are precisely measured, mixed and packaged every week. This is a permanent position, with a 3 shift pattern Week 1 - PM - 1400 - 22.00 Week 2 - AM - 6.00 - 14.00 Week 3 - Nights - 22.00 - 6.00 As a Maintenance Technician you will be responsible for • Complying with the health and safety policy and regulations., • Resolving breakdowns, carryout PM’s and work on project / improvement works with a view to minimizing production downtime., • Carrying out risk assessments with the relevant people and put controls in place to minimise the risk to acceptable levels where reasonably practicable., • Lock off any dangerous machinery immediately/ or repair and notify., • Actively seek to undertake PMs on offline machinery where time allows., • Fully complete PM sheets with all observations, jobs completed and recommendations and file with the Maintenance Planner, whilst always looking at ways of improving to PMs., • Actively gain as much information as possible from production personnel regarding the fault on the machine to speed up the fault-finding process., • Ensure engineering log and computer systems are fully filled in with all relevant information including PM numbers, all used parts, plant numbers, urgency of required parts, at the end of each shift., • HNC, City & Guilds or time served apprentice with appropriate electrical engineering qualifications., • Experience within a similar role ideally gained within a food manufacturing environment, if not food, experience within any manufacturing environment is highly desirable., • Electrically or biased, or multi-skilled. PLC experience highly desirable., • Hydraulic and Pneumatic systems experience highly desirable, • Flexible approach with a positive 'can-do' attitude., • Experience of SAP highly desirable. In Kerry we know that sometimes the perfect candidate doesn’t exist, and people can be put off applying for a role if they don’t fit all the requirements. If you are excited about working for us and have the majority of the skills or experience, then please do apply as you could be exactly what we are looking for. At Kerry, we believe in giving talented, curious people the opportunity to make a difference. We work as a team, searching for the best ways to inspire food and nourish life. We are a community of innovators, working across disciplines to solve global food challenges with a fresh approach. We want you to achieve whatever you put your mind to! We can offer you • Career development opportunities within a leading global player in sustainable nutrition, • Competitive salary, • Shift allowance, • Matched pension scheme up to 10%., • Life Assurance, • Employee benefit platform with discounts and offers for retailers online and offline, travelling, utilities and more., • Employee Assistance Program, supporting your emotional, physical, nutritional and financial wellbeing., • Inspiring People - Kerry's Global Recognition Program., • Access to Udemy, a learning platform with 1000's of free courses., • OurVoice, opportunity to share your feedback on the work environment every year., • OurShare, Kerry share plan available to all employees, with option to enroll once a year., • MyCommunity, have one day per year to volunteer for a worthwhile cause. In Kerry we benefit from the knowledge of our colleagues who bring a diverse range of cultures, backgrounds, lifestyles and experiences. One team fostering an inclusive culture that, above all, inspires food and nourishes life. One culture where everyone brings their unique perspectives and experiences to help make us better, together. We are committed to nurturing an environment of positivity and inclusiveness, where everyone can be at their best, both personally and professionally.Our recruitment, selection and assessment process are based on the skills and competencies of the specific roles and based entirely on merit. We are committed to and value Diversity and Inclusion in all recruitment processes within Kerry and do not discriminate based on gender, race, class, economic status, ethnic background, sexual orientation, age, political beliefs, veteran status, marital status or any other protected characteristic. Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a “starter kit,” investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter #LI-JP2 Posting Type LI

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics, • Own the ML lifecycle from data preparation through training, evaluation, and deployment, • Implement and maintain MLOps workflows for continuous integration and delivery of ML models, • Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability, • Contribute to architecture decisions for ML pipelines and data flows, • Apply secure coding and configuration practices in line with compliance standards, • Mentor junior engineers and share best practices across the team, • Support innovation by researching emerging ML techniques and tools Your skillset may include: • ML Development Expertise: Hands-on experience building and deploying ML models, • Lifecycle Ownership: Ability to manage ML workflows from design to production, • Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling, • Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration, • Governance & Compliance: Familiarity with secure coding and quality assurance standards, • Collaboration & Mentoring: Ability to work across teams and support junior engineers, • Continuous Improvement: Commitment to learning and applying emerging ML techniques If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

• Node, Typescript, React, AWS., • Incredible SAAS product, revolutionising the industry., • Top Tech Start-Up, AI, ML.One of Bristol’s most exciting tech start-ups are looking to add a Senior Full-Stack Engineer to their team working on a groundbreaking platform. Currently managing £15m per month in customer transactions and used by some of the UK’s most prominent suppliers, this high availability system helps to allow customers to self-serve, automate and drive sales growth making it one of the most revolutionary products to reach the industry for decades. One of the many benefits to the platform is the ability to seriously reduce waste, something which is resonating across their customers and the market. *1-2 days per week in their co-working space, Central Bristol.What skills you'll need, • Typescript, Node.js, • React.js., • RESTful API services., • MySQL/PostgresSQL.Useful experience, • React Native., • Serverless / Lambda, • Version control - Git, • AWS cloud / CDK, • Jest, • AI / ML, • EDIWhat you'll be doing You will be working on a platform with powerful ordering and self-serve features that streamlines customer service and provides an infinitely better experience on any device. The product is already extremely successful and there are plans to introduce new features including native apps, forecasting and machine learning as well as AI. Joining a team of 5, the role covers two main aspects: development of new features and support for existing clients. As they grow, adding new features and onboarding more clients, the importance and influence of this role will continue to expand. Working across the full-stack you will be able to work with flexibility and learn new, cutting edge tech within the role applying them as you go with the backing and autonomy to make a real contribution to the success of the business. In addition; you will be testing and deploying releases, assisting R&D for new products and features as well as passing on your knowledge, experience and new learnings to the rest of the team. You will help to improve cloud infrastructure, work closely with designers on UI/UX and test and deploy releases.What you'll get in return for your talents In return for your sterling efforts will be a competitive salary (£60-90K), private healthcare, generous hols with long Christmas shut-down, your choice of kit to work on, R&D time, week-long hackathon (Spain, Cornwall etc), employee equity plan, health cash plan, training and development and more. Even after a short period working here you'll find your skills have vastly improved and you'll be able to help deliver some seriously impressive products. The team are a really collaborative and passionate bunch who love to learn together and challenge themselves.What's next? Like the sound of this one? Send in your CV now for immediate consideration or call in for a chat with Mike.

Description Capture Manager Location: Hyrbrid working with travel to our Farnborough office as working. We are flexible with where someone is based. Join our UK Team who are committed to a Mission! Capture Manager Are you a seasoned sales professional considering your next move? Leidos is excited to be extending our UK Growth operations and are looking for an experienced sales manager to drive high-value opportunities across our focus markets in UK public sector. What we’re looking for: • Proven experience securing new business in the UK public sector – National and Devolved Government, National Security and Defence sectors, • Ability to sell multi-discipline IT and system integration solutions, • Strong understanding of sales and capture strategy, • Demonstrable business development and sales capture leadership, shaping and executing business winning strategies. We are looking for someone with experience in Capture / Pursuit leadership, who thrives on working in an dynamic business winning environment.. The Capture Manager is accountable for winning a specific business opportunity and provides the leadership to the Capture team through to award of the contract. You will: • Define the customer engagement management strategy and engage senior company executives in contact activity as required, • Personally engage with customers and stakeholders to understand their challenges, constraints and desired outcomes, • Lead the development of winning strategies that differentiate us, are competitively focused and are compelling to the client and their requirements, as well as satisfy internal business objectives and risk posture, • Assemble a high performing Capture team that brings relevant expertise and capabilities;, • Deliver clear and inspired leadership to assure execution of winning capture strategy., • Where relevant, assemble an industry team that compliments Leidos capabilities to both win the opportunity and ensure execution of the programme, • Work with the Bid Manager to develop a high-quality proposal, ensuring win themes, hot buttons, and evaluation criteria are comprehensively addressed across all proposal elements, • Lead internal stakeholder management through stages of deal governance,, • Lead post-submission activities and support the programme team as required, ensuring smooth hand over to the operational delivery. Our ideal candidate must have a strong track record: • As a Capture Manager / Pursuit Lead winning complex IT services opportunities of greater than £20m, ideally to within UK public sector, • Be capable of developing and maintaining senior stakeholder relationships internally and with customers and industry partners. What does Leidos need from me? • Exceptional leadership, relationship management, and communication skills, including motivation and direction to team members., • Proven effective in working across organisational boundaries (e.g. between corporate divisions and/or multi-nationally based divisions), • Sound commercial acumen and ability to define Leidos value proposition with compelling business case. Clearance Requirements: UK Security Clearance is required for this role Discover yourself at Leidos UK! Join our team and we’ll unleash your talents to solve the most challenging technical problems. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexi-Time Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: ___ – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £75,800.00-£99,800.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

What you will do as a Senior ML Engineer • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics., • Own the ML lifecycle from data preparation through training, evaluation, and deployment., • Implement and maintain MLOps workflows for continuous integration and delivery of ML models., • Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability., • Contribute to architecture decisions for ML pipelines and data flows., • Apply secure coding and configuration practices in line with compliance standards., • Mentor junior engineers and share best practices across the team., • Support innovation by researching emerging ML techniques and tools. What you’ll bring • Proven experience developing and deploying machine learning models in production environments., • Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with a clear understanding of when to apply each model., • Proficiency with object detection concepts. Experience in video analysis, particularly optical flow and object tracking., • Solid knowledge of Optical Character Recognition (OCR) models, with the ability to fine-tune these models using custom datasets., • An understanding of how to measure the accuracy of text extractions through metrics like Character Error Rate (CER) and Word Error Rate (WER) is also crucial., • Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch)., • Understanding of ML architectures, hyperparameter tuning, and performance optimisation., • Experience with MLOps tools and CI/CD pipelines., • Familiarity with data engineering concepts (ETL, data pipelines, SQL)., • Ability to analyse complex data and communicate insights effectively., • Strong problem-solving skills and attention to detail., • Excellent collaboration and stakeholder engagement skills. Core areas (must have): • ML Development Expertise: Hands-on experience building and deploying ML models., • Lifecycle Ownership: Ability to manage ML workflows from design to production., • Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling., • Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration., • Governance & Compliance: Familiarity with secure coding and quality assurance standards., • Collaboration & Mentoring: Ability to work across teams and support junior engineers., • Continuous Improvement: Commitment to learning and applying emerging ML techniques., • Desirable:, • Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes)., • Exposure to big data technologies (Spark, Hadoop) and Apache tools., • Knowledge of NLP, computer vision, and deep learning architectures., • Familiarity with Agile and DevOps practices., • STEM degree or equivalent experience in AI, Data Science, or related fields., • Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty)., • Experience working in secure or regulated environments. SC clearance is manadaorty for this role

Description Programme Name: LCST (___) Hours: this is a part-time role, 3 days per week Location: Bristol, UK Are you ready for your next career challenge?.. Role Overview: The Supply Chain Analyst role enables the creation and maintenance of a central repository for supply chain risk and resilience intelligence, across the Leidos Supply Ltd (LSL) commodity supplier base. You will need to be familiar with SAGE along with Commercial knowledge, enabling effective manual collation of appropriate data whilst operating with internal and external parties to build the data and support the demonstration of the supply chain mapping. Duties and Responsibilities: • Review all LSL Contracts, ECC Documents and Supply Chain Plans to collate supply chain details, • Engage with relevant stakeholders and suppliers to gain required information to populate the database., • Continue to build the data against agreed Projects (Op Golden Orb etc.), • Conduct due diligence with suppliers against supplier data to verify information, • Present central repository to stakeholders when necessary, including external SMEs, • Maintain data and update as necessary to ensure accuracy of record., • Operate across LCST CSS particularly to ensure awareness of activity and commitment to support, • Be the change agent to drive the initiative forward, • Support supplier events to enable external awareness and support from suppliers, • Provide innovation during the creation and development of the central repository to enable agility and effectiveness Skills Required: • GCSE/A Level Standard or equivalent, • Microsoft Excel experience, • Strong written and verbal communication skills, • Numerate and proficient in Microsoft Word, Excel and PowerPoint, • Strong attention to detail, • Ability to work as a member of a team Skills Desired: • Proven experience supporting LCST business & LSL Systems, • Experience of using SAGE Clearance Requirements: • BPSS pre-screening required to Start Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexible working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The ___ for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £28,800.00-£33,900.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Programme: LCST (Logistics Commodities & Services Transformation) Location: Bristol Role Overview Leidos Europe Ltd is seeking a UK based Deputy Head of Compliance and Continuous Improvement who is a motivated self-starter who can work independently and as part of a team in a dynamic environment. You will be a dedicated resource to the Logistics Division working on the Ministry of Defence Logistics, Commodities and Services Transformation (LCST) Programme. Reporting to the Head of Compliance and Continuous Improvement, the Deputy Head will oversee a programme team quality function and the audit/assurance programme covering internal, external and supplier audits. You will be acting as the first point of contact for associated issues. As a key member of the compliance team, you will have tangible as well as strategic input within a growing business. You will be accountable for driving the culture of quality and compliance to the next level as the programme continues to expand. The role will be hybrid, with expectations to be in office at least twice a week and some travel will be required. Duties & Responsibilities: This position is a hands-on leader with strong background in quality assurance and quality control in an operational environment. The successful candidate will have strong analytical and problem-solving skills, a keen eye for detail, and evidence of CPD study on quality-related subjects. This position will work cross-functionally with our Defence customer, key sub-contractors and the operations teams to be ensure the quality programmes and procedures are of the highest standards so that we deliver products and services of the highest quality to our customers. Your responsibilities: • Overseeing programme wide quality processes to ensure compliance and risk mitigation, • Oversee development and self-inspections of the quality management systems, • A champion of continuous improvement you will support a culture of problem solving and service evolution, • The role will also drive forward on critical compliance topics such as ISO and AQAP activity, • Ensure that adequate records are maintained, • Ensure that all personnel are trained and aware of compliance and quality requirements, • Deputise for the Head of Compliance in both Customer and Key Sub-Contractor meetings, where necessary Skill Required: • Certification in a relevant discipline is necessary, as would working within an established quality team in an operations environment, • Holds ISO9001 Lead Auditor Qualification, • Experience implementing corrective and preventative actions (CAPA) and conducting Root Cause Analysis (RCA), • Proven experience working as an auditor alongside development, implementation and maintenance of quality systems is essential, • Credibility at a senior management level with the ability to influence senior stakeholders, • Experience of implementing continuous improvement methodologies (e.g. Lean, Six Sigma), • Experience of Internal, external and supplier auditing, • People management skills and the ability to develop others, • Willing to travel UK and Overseas Desirable Skills Required: • Experience working with MOD contracts, policies and procedures including AQAP, Defence Standards and Joint Service Publications., • Experience working with the following tools: Power BI, SharePoint, MS Office products (Word, Excel, PowerPoint), Jira, • Active SC security clearance Clearance Requirements: • BPSS Pre-screening required to start, • SC Required for role, • UK Citizenship Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexible Working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The ___ for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £58,400.00-£74,900.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Programme: LCST (Logistics Commodities & Services Transformation) Location: Bristol Role Overview Leidos Europe Ltd is seeking a proactive and motivated Header Tank Process Lead to support the Ministry of Defence Logistics, Commodities and Services Transformation (LCST) Programme. This development role will operate within the Logistics Division, reporting to the Air Safety Manager, and will play a key part in the implementation and day-to-day management of the Header Tank Process as defined within the airworthiness change programme. The Header Tank is a change management process that converts NATO Stock Numbers (NSNs) from not being recognised as Airworthy Certified Items (ACIs) to being recognised as ACIs, within LCST depot warehouses. The position offers an excellent opportunity to build transferrable skills in airworthiness, logistics, and process improvement within a dynamic defence environment. Duties & Responsibilities: • Support the implementation, operation, and continuous improvement of the Header Tank Process for ACIs within LCST depot systems, ensuring compliance with Defence policies and project requirements, • Collaborate with depot teams and stakeholders to monitor, track and report progress of NSNs through the Header Tank Process, maintaining clear records and supporting effective stock management, • Assist in scheduling and prioritisation of NSN processing, following guidance from the Air Safety Manager and relevant MOD Air Delivery Teams (DTs), • Contribute to the documentation and refinement of operational process maps, work instructions, management information and audit trails related to the Header Tank Process, • Help ensure accuracy of system data, and support the transition of items between warehouse management systems (Dispatcher/BODMS), • Work with the Air Safety Compliance Manager to support business change activities, contributing to project governance, quality assurance, and risk mitigation, • Engage in training and development activities to build specialist knowledge in airworthiness and logistics, with opportunities to work alongside experienced compliance professionals Skill Required: • Educated to A-level or equivalent; a degree or technical qualification in logistics, engineering, or a related discipline is advantageous but not essential, • Strong attention to detail with an ability to follow and improve processes, • Effective communication skills (written and verbal) and ability to collaborate as part of a team, • Competency in MS Office products, especially Word and Excel; familiarity with SharePoint is beneficial, • Enthusiasm for learning and developing new skills relevant to airworthiness, quality, and defence logistics, • Ability to work independently and prioritise tasks within a fast-paced operational environment Desirable Skills Required: • Experience working in a warehouse, logistics, or administrative role., • Interest or experience in defence, MOD processes, or airworthiness compliance., • Exposure to process mapping, audit, or continuous improvement activities Clearance Requirements: • BPSS Pre-screening required to start, • SC Required for role, • UK citizenship and eligibility for SC clearance Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexible Working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The ___ for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £34,800.00-£43,500.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Programme Name: LCST Location: Bristol Role Overview: We are seeking a Commercial Manager to join the team on a 16-month fixed term contract. Leidos Europe subsidiary, Leidos Supply Ltd (LSL), part of the Commodity Support Services (CSS) team within Team Leidos. Providing commercial support and advice to both team members and other stakeholders through the letting and management of contracts. Ensuring that the necessary professional standards are maintained for all commercial work and further the aim of achieving the most cost-effective procurement of requirements and deliver the benefits required by Team Leidos under Logistic Commodities and Services Transformation (LCST). Main Duties and Responsibilities: • Be responsible for the commercial activity associated with the change of the Sovereign’s monogram to The King’s cypher within Defence Clothing, • To ensure that all commercial activity within your area of responsibility is performed to the highest standards, conforms to Procurement Act 2023 and Leidos Policies and Procedures and is monitored to ensure continuous improvement with the overall aim of obtaining best value for money, • To proactively participate in development and implementation of Category Strategies to ensure these fully satisfy LSL requirements, • To draft and issue ITTs/ITNs, contracts etc. and manage the associated procurement process up to and beyond contract award, • To negotiate contract terms, conditions and prices within delegated/licensed powers for Procurement activity with a view to delivering against the Benefits Realisation Plan, • Undertake contract/team administration as required, • Maintain professional standards and provide commercial support and advice to staff, stakeholders and customers, • To effectively manage the contracts within your responsibility by building strong working relationships with both contractor, customer, and colleagues where necessary, • To assist in setting targets and objectives for LSL and to support and monitor achievement against these, • Ensure Commercial MI is accurate and up to date and submitted on time., • To actively contribute to the development of LSL tools, processes and procedures, thereby supporting Team Leidos Transformation, • Continuing Professional and Personal Development to ensure currency with EU and Commercial Procurement practices and Regulations and maximise contribution to the business, • Mentor junior staff within LSL to facilitate their personal and professional development, • Trained in, and fully observant of, Good Distribution Practice (PGD) obligations and best practices Skills Required: • Prior relevant experience within the commercial or procurement profession, • Good written and verbal communication skills, • Ability to work as a member of a team, • Numerate and proficient in Microsoft Word, Excel and PowerPoint, • Public-Sector knowledge and experience (including application of EU Regulations) Skills Desired: • BA degree / Masters with prior experience within the commercial or procurement profession, • Project Management experience, • MCIPS or working towards, • Knowledge of MoD procurement processes, • Experience of using e-procurement tools Clearance Requirements: • BPSS pre-screening to start and for the role What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexible working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The ___for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £41,300.00-£53,000.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Air Safety Manager Programme: LCST (Logistics Commodities & Services Transformation) Location: Bristol The Role: Leidos Europe Ltd is seeking a UK-based Air Safety Manager to support the Ministry of Defence Logistics, Commodities and Services Transformation (LCST) Programme. This role is a key leadership position within the Logistics Division, reporting directly to the Head of Compliance and Continuous Improvement. The Air Safety Manager will be responsible for delivering and assuring air safety capability, ensuring compliance with all airworthiness requirements. This individual will have line management responsibility for both a Header Tank Process Lead as well as a Supplier Quality Engineer, overseeing their operational delivery and professional development. As a senior member of the compliance and assurance team, the Air Safety Manager will drive a culture of continuous improvement and compliance, providing strategic input and operational leadership as the programme expands. The role requires the ability to work independently and collaboratively across multiple functional areas, including Defence customer liaison, and key subcontractors. The role will be hybrid, with expectations to be in office at least one day per week with UK and some oversees travel required. Duties & Responsibilities • Lead airworthiness across LCST, ensuring all relevant MOD and regulatory obligations are met., • Act as the main point of contact for airworthiness, supporting the Air Safety Board as co secretary., • Manage and develop the Leidos airworthiness team, setting objectives and driving performance., • Make sure change processes (such as Header Tank and CSS conversions) are properly implemented, controlled and managed., • Assure supplier quality and airworthiness compliance across procurement and contracts., • Oversee air safety governance, audits, and the Air Safety Management System. Skill Required • Relevant engineering qualification or aerospace experience., • Membership with a quality or safety professional body, • Strong communication (written and verbal), leadership and partnership working skills., • Ability to deliver at pace, multi-task and manage pressing deadlines., • UK citizenship, • Be able to achieve SC clearance, • Willing to travel UK and Overseas Desirable Skills Required • Experience working with MOD contracts, policies and procedures including MAA, AQAP, Defence Standards and Joint Service Publications., • Experience working with the following tools: Power BI, SharePoint, MS Office products (Word, Excel, PowerPoint), Jira, • Experience in leading Continuous Improvement projects, • Chartered with a quality or safety professional body, • Active SC security clearance What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The______ Programme for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £58,400.00-£74,900.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Readiness Manager Programme Name: Logistics Commodities & Services Transformation (LCST) Location: Bristol The Role: Leidos is looking to recruit a vitally important role within the Operations Team; Readiness Manager. The post requires the successful applicant to be responsive for all operational planning for Leidos support to contingent operations, particularly planning for a Strategic Base Outload into Europe in support of NATO. The successful individual will be responsible to the Head of Operations for engagement with all Military Commands (MC) to understand their requirements, refine their demand signals and understand the implications for Leidos, communicating across Leidos business areas on their role within those plans. The successful candidate will be ex-military, staff trained and experienced on military logistic planning and execution, ideally with operational experience. The post requires the individual to develop a deep knowledge of Leidos’ logistic information systems and their inter-relationship with MOD Log IS to ensure Leidos delivers the MOD’s supply chain requirements on operations. The position requires physical presence on the floor plate in DSCOM most of the time, with some WFH options as well as a willingness to travel to MC and Leidos depot locations. He or she must be prepared to undertake CONDO training and be medically fit to deploy, if required, forward with operational logistic HQs on large-scale exercises and, if necessary, operations. The post requires a sharp, analytical mind, an appetite for hard work, a proactive, collegiate mindset working with our uniformed colleagues, an ability to work in a small, close-knit operations team based in Abbey Wood and a sense of humour. Team Leidos Strat Base Outload Planning Manager The Readiness Manager is responsible for ensuring that Team Leidos is poised to support the deployment of contingent UK forces at pace and scale. The role requires cross‑organisational coordination between Leidos, MOD stakeholders, and internally to Team Leidos mission partners. This position leads high‑priority issue resolution, manages time‑sensitive logistics tasks, oversees compliance, and prepares senior decision‑makers with clear and actionable operational intelligence. The incumbent will report to the Team Leidos Head of Operations and be embedded in DSCOM, specifically DSCOM Plans. Functions include: • Operational Readiness. TL lead for planning a Strategic Basse Outload (SBO) and TL’s support to Op FORCEFUL through DSCOM. Plan and lead rehearsal of concept drills across all stakeholders to ensure all elements are aligned and aware of their requirements and limitations during an SBO. Work with DSCOM Plans to develop and refine NATO Force Model (NFM) Plans to be cognisant of TL capabilities., • Issue, Risk & Escalation Management. Monitor and track risks to an SBO from Team Leidos and impacts of changes from the MoD to understand risks/issues., • Stakeholder Engagement & Communication. Support Defence SBO planning by participating in Tabletop Exercises (TTXs) across stakeholders from MoD Main Building to Formation level., • Data, Systems and Asset Management. Be conversant and knowledgeable regarding current MoD Logistic Information Systems and their roles. Work with the TL Operational Analyst to further develop the FORESIGHT SBO modelling tool. This also incudes engagement with COSSAC to understand and model demands against the NFM commitment., • Operational Planning & Support. Provide operational planning and support to planned activities and large-scale exercises through DSCOM Plans and engage directly with units to ensure service provision. This includes provide SME advice during the planning stage as to the most effective way of designing the support solution., • Multi-modal knowledge. Responsible for planning and delivering large scale TL rail delivery projects for Defence in support of operations and exercises., • Supply Chain Coordination. Support the TL Ops Manager and Ops Coordinators conducting the ‘EXECUTE’ phase of an SBO, effecting a 24/7 TL Ops capability, • Project Management & Operational Delivery. Act as the Operational lead for TL support to large scale activities/exercises performing a Plans to Execute function Key Skills and Competencies: • Mature and experienced to enable clear and accurate communications to all stakeholders, from unit level through to 4* such as Mil Strat HQ and Military Commands, • Self-motivated and driven to ensure a proactive approach with limited direction/guidance from Hd Ops, • Highly proficient with all MS Office applications and able to generate clear, concise and accurate briefs to inform senior stakeholders, up to and including Defence Policy, • Comfortable working across all domains, particularly Land, • Understanding of the RMC finance model, • Project management qualification would be beneficial. Clearance Requirements: * Must hold or be eligible to apply for SC clearance to start * Be eligible to apply for DV clearance in future What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The ___Programme for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £54,600.00-£70,000.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Senior Data Scientist | Bristol (Once a week onsite) | Salary: Available on request Peaple Talent are working in exclusive partnership with a leading organisation that delivers cutting-edge technology solutions across critical national programmes. They are seeking a Senior Data Scientist to spearhead innovative data science initiatives and deliver meaningful, real-world outcomes. The Role You will take ownership of technical delivery and design end-to-end machine learning solutions. Operating within a collaborative, agile environment, you’ll address complex problems using advanced analytics and AI-driven approaches. Key Responsibilities • Lead initiatives across machine learning, automation, and analytics, • Oversee and mentor a small team of data scientists, • Build predictive models and data-driven solutions (structured and unstructured data), • Collaborate with stakeholders and translate technical findings into business impact About You • Proven experience in a senior data science position, • Strong expertise in machine learning, statistics, and advanced analytics, • Proficiency in Python, R, SQL, or Java, • Hands-on experience with AWS and/or Azure, • Exposure to Computer Vision is advantageous, • Strong communication skills with the ability to simplify complex concepts What’s on Offer 📍 Location: Bristol – One day per week onsite ⭐ Annual bonus 🪙 Pension with up to 15% employer contribution 💸 Up to £500 per year for flexible benefits 📈 Excellent opportunities for career growth

Wanted: Full Stack Engineer £45,000 - £55,000 (depending on experience) plus excellent benefits* Start date: ASAP Demand for Cervus’ products and services continues to grow across the Defence sector. We are looking for a motivated, curious, and technically minded Full Stack Engineer to help us scale our data and analytics capabilities across the UK and international markets. In this role, you will contribute to the design, development and maintenance of the data pipelines, platforms and services that power Cervus’ analytics. Working closely with experienced engineers, analysts, and delivery teams, you will help build customer focused, scalable, and innovative solutions that enable better decision making in defence. You will also be encouraged to leverage modern AI tools to accelerate high quality, sustainable development. As a Full Stack Engineer, you will: • Design, develop, automatically test and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools., • Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++)., • Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows., • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions., • Optimise system performance and reliability for high-volume data operations across distributed environments., • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards., • Contribute to system architecture, technical decisions, documentation and code reviews., • Maintain and improve CI/CD pipelines, advocating for best practices in testing, deployment and release management., • Rapidly prototype new features and tools, applying practical technical insight to test ideas and shape future products. We expect you to have: • Bachelor’s or master’s degree in computer science, engineering, or a related field preferred - or equivalent practical experience gained on the job instead., • Professional experience in full stack software development, ideally in a data-focused or product orientated environment., • Strong backend development experience (preferably with Python), particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes)., • Experience of working as part of a team to deliver software products., • Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar)., • Experience working with containerised applications (e.g. Docker compose, Swarm or Kubernetes) in a Linux-based environment., • Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows., • Familiarity with ETL processes, data warehousing and distributed systems., • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI, • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards., • Exposure to DevOps practices including TDD, CI/CD and infrastructure as code., • Experience of optimising systems for performance and scalability and reliability., • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production., • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena)., • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP, • Development experience within secure or classified environments particularly where compliance or restricted networks are a factor., • Experience of leveraging the power of the rapidly emerging AI agents without compromising on quality. Working location: This role will be primarily based at either our Bristol or Westbury offices for approximately 1 • 2 days per week. It operates within a flexible hybrid working model, with the option for regular home working. The role will also involve travel within the UK and overseas. Why join Cervus? Cervus is a performance analytics and technology company helping defence and security organisations make better decisions, faster. Based in the southwest UK with offices in Bristol and Westbury, we value hybrid working, curiosity, collaboration, and continuous improvement. Joining us means contributing to meaningful, high-impact projects, working with talented colleagues, and helping shape the future of data-driven capability development. This role typically involves 1 –2 days per week in the office and travel within the UK and overseas. How to apply We’re committed to fostering an inclusive workplace where everyone can thrive. We welcome applications from candidates with disabilities and will provide reasonable adjustments during the recruitment process and in the workplace. If you have questions about the role or require any adjustments, please contact . Interviews will take place from March 2026.

Data Engineer | On Prem | Bristol (Hybrid) We’re supporting a leading engineering organisation working on cutting-edge AI and data platforms, and they’re looking for a Data Engineer to join their growing team. This role sits within a GenAI-focused function, working on the design, build and optimisation of data pipelines and datasets used across the business. It’s a great opportunity to work on genuinely interesting problems in a secure, highly technical environment. What you’ll be doing: • Designing and building robust, secure data pipelines in an on-prem environment, • Working closely with internal teams to understand and optimise their data requirements, • Improving data quality, governance and overall architecture, • Supporting the development of datasets used in AI and machine learning applications, • Contributing to technical direction and exploring new tools and technologies What they’re looking for: • Strong experience with SQL databases such as MS SQL or Oracle, • Experience with NoSQL technologies like MongoDB or Neo4j, • Solid background in ETL, data processing and integration, • Python development experience, • Experience working in on-prem or hybrid environments (not purely cloud-based), • Understanding of big data technologies such as Hadoop is beneficial Nice to have: • Exposure to NLP, OCR or Generative AI, • Experience with containerisation tools like Docker, • Background in engineering, industrial or defence environments Location: Bristol (2–3 days onsite) Salary: Competitive + bonus + strong benefits This is a great role for someone who enjoys working on complex data problems in a highly secure, engineering-led environment, particularly if you prefer on-prem systems over cloud-first setups.

Senior Machine Learning Engineer (Outside IR35) | 6‑Month Contract 📍 Bristol (Hybrid – ~20% onsite) Build Machine Learning that Actually Matters This isn’t another recommender system. This isn’t ad‑tech. And it definitely isn’t “just moving notebooks into production”. We’re looking for a Senior Machine Learning Engineer to help design, build, and deploy mission‑critical ML systems used across defence, security, and high‑integrity public sector programmes. You’ll be working on problems where correctness, robustness, and trust matter as much as raw performance — and where your work has real‑world impact at national scale. 🔥 Why This Role Is Different • Real ML engineering: production systems, not demos, • Work on secure, high‑integrity platforms where ML decisions matter, • Influence architecture, not just implementation, • Join a team that treats ML as software engineering, not science experiments 🧠 What You’ll Be Doing You’ll take ownership across the entire ML lifecycle, working hands‑on and strategically: • Design, build, and optimise ML models across:, • Natural Language Processing (NLP), • Computer Vision, • Predictive / statistical modelling, • Own solutions from data preparation → training → evaluation → deployment, • Design and maintain robust MLOps pipelines (CI/CD for ML, model versioning, monitoring), • Work closely with Data Engineers and DevOps to deliver scalable, production‑ready systems, • Shape ML architecture decisions — pipelines, data flows, and deployment patterns, • Apply secure‑by‑design coding practices aligned with compliance and assurance standards, • Mentor junior engineers, raise the bar, and lead by example 💡 What You’ll Get • £70/hour LTD (Outside IR35), • 6‑month contract with meaningful scope from day one, • Hybrid working: Bristol + remote, • A team that values engineering rigour and technical leadership, • The chance to work on ML systems that actually get deployed and relied upon 👀 Who This Is Perfect For This role is ideal if you’re: • A senior ML engineer who’s tired of throwaway models, • An engineer who enjoys ownership and architectural influence, • Someone who wants their work to have real‑world impact, • A contractor who values interesting problems over hype Ready to build ML that matters? If you want to work on serious systems, with serious engineers, solving serious problems — we’d love to hear from you.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

AI Engineer (ML, Engineer, LLM's, MCP) Location: Fully Remote, UK Salary - Highly competitive plus 15% annual bonus based on personal performance Reporting to: Chief Executive Officer Neulinx have partnered with an established global SaaS company to appoint an AI Engineer for a business-critical role reporting directly to the CEO. This is a high-impact opportunity for an experienced AI Engineer to lead the practical adoption of AI across a 50 person engineering team and the organisation, supporting both internal capability and external product development. Role Overview The successful AI Engineer will play a central role in helping the business evolve towards a more AI-driven future. This position requires a strong blend of machine learning knowledge, software engineering capability, and the ability to apply AI in practical, commercial environments. This is not a managerial position. It is a hands-on role for an AI Engineer who can lead through technical delivery, influence engineering teams through credibility, and help embed AI capability across the wider business. The role will focus on integrating AI into an existing SaaS platform, modernising legacy systems, and identifying opportunities to improve products, workflows, and operational efficiency through the use of AI. Key Responsibilities • Act as the lead AI Engineer within the business, driving the adoption of AI across engineering, internal operations, and customer-facing applications, • Design, build, and deploy AI-powered solutions within an established SaaS environment, • Work with LLMs in real-world product and operational use cases, • Apply prompt engineering techniques to improve workflows, outputs, and user experience, • Build and implement MCP services and advanced AI workflows, • Support the transition of legacy systems towards a more AI-driven architecture, • Partner closely with software engineers to help develop AI capability across the team, • Identify and deliver practical AI and ML use cases that create measurable business value, • Work directly with the CEO and senior leadership team on the company’s AI direction and implementation priorities Candidate Profile The ideal candidate will be an experienced AI Engineer with a strong grounding in machine learning and a proven ability to write high-quality production code. Applicants should be able to demonstrate: • Proven experience in an AI Engineer, ML Engineer, or similar hands-on role, • Strong software engineering skills and the ability to build production-grade systems, • Strong experience with LLMs, prompt engineering, and MCP, • Experience implementing AI solutions within existing or legacy platforms, • The ability to operate effectively in a hands-on, high-visibility role, • Confidence working directly with senior leadership as well as technical teams, • A practical, delivery-focused mindset with a strong bias towards execution, • The ability to influence others and encourage wider AI adoption through hands-on support and technical leadership Additional Context This role is particularly well suited to an AI Engineer who is energised by seeing their work have tangible impact at scale, rather than solely within internal teams. It will also suit someone who is comfortable working within complexity and legacy environments. Existing technologies include MS SQL, C#, JavaScript, and an ongoing React migration, so resilience and a genuine interest in modernising established systems will be important. If you are an AI Engineer who wants to build, influence, and help transform a global SaaS platform through AI, we’d love to hear from you.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

About Us: Beazley Security is a global cybersecurity firm committed to helping clients enable advanced cyber defenses that reduce risk with quantifiable results. We’re comprised of top talent from private industry, government, intelligence, and law enforcement who are specialists in threat detection, incident response, digital forensics, offensive security, risk management, and cyber resilience. As a subsidiary of specialty insurance giant, BeazleyInsurance, we’ve been at the forefront of cyber insurance management and breach response activities for business clients in the US, UK, and Europe since 2017. As Beazley Security, the company will have an expanded scope, leveraging nearly two decades of cyber incident experience, a strong services division, and a business strategy focused on growth, to realize our goals and deliver benefit for clients. As a company, we are committed to upholding our core values of Belonging, Integrity, Service, Accountability, and Curiosity. We believe these values are essential to creating a strong and inclusive workplace culture, as well as to delivering world-class cybersecurity solutions to our clients worldwide. As Beazley Security, these values will continue to thrive, with an extra emphasis on expansion of our capabilities and capacity in helping solve unique client challenges. Summary: Beazley Security is seeking a Director of Engineering to lead and scale our software engineering function across multiple product teams building secure, high-performance applications that power our cybersecurity products and services. You’ll set technical direction, strengthen team health, and drive delivery excellence across an organization operating with modern engineering practices including cloud-native architectures, containerization, scalable service design, CI/CD, infrastructure-as-code, and DevSecOps standards. Reporting to the Deputy Chief Product & Technology Officer, you’ll partner closely with Product, Security, IT, and other stakeholders to translate business objectives into dependable engineering execution. You will also help shape our AI strategy, both in how our products responsibly leverage AI capabilities and in how our teams use AI-assisted development tools to securely accelerate delivery, while evolving the engineering team into a scalable, multi-tier organization that supports Beazley Security’s continued growth. This role is ideal for a technical leader with deep software development expertise who thrives at the intersection of people management, product growth, and strategic thinking in a fast-paced, security-conscious environment. Key Responsibilities: Technical Leadership & Strategy • Define and execute the engineering strategy in alignment with Beazley Security’s product roadmap and business objectives, partnering with the Deputy CPTO, CPTO, and Director of Product on long-term technical vision., • Lead architectural planning across all product lines ensuring systems are designed for scalability, reliability, security, and maintainability., • Guide technology decisions, development frameworks, tooling, and infrastructure standards across engineering teams., • Evaluate and adopt emerging technologies, including cloud-native architectures, microservices, and modern DevOps practices, to keep the engineering function at the leading edge. Team Leadership & Management • Directly lead and mentor a growing engineering team evolving the organization from a flat structure into a scalable, multi-tiered team with engineering managers and technical leads over time., • Drive performance management and career development across the team while fostering a culture of accountability and curiosity., • Define the engineering org structure and resourcing plans to support company growth including succession planning and leadership development., • Guide and coordinate outsourced engineering partners alongside the in-house full-time Engineering team by leveraging subcontracting relationships while ensuring both standards and delivery goals are consistently met. Platform Engineering & Reliability • Ensure all products operate reliably on a 24/7 basis, including uptime, incident response, and on-call processes., • Partner with IT to own and manage cloud infrastructure across AWS and Azure, ensuring environments are secure, cost-efficient, and aligned with security and compliance requirements., • Establish and maintain observability, monitoring, and alerting practices to proactively identify and resolve system health issues., • Continue to evolve and optimize our infrastructure-as-code practice and CI/CD pipelines, strengthening deployment automation to further improve delivery velocity and reliability. Project & Delivery Oversight • Oversee execution of engineering projects across multiple product teams ensuring timely delivery and code quality while aligning with the goals of the roadmap and products., • Collaborate with Product to scope and prioritize engineering work within agile delivery frameworks., • Remove blockers and enable teams to operate efficiently and independently while balancing speed with quality and security., • Establish delivery metrics and reporting cadences to provide visibility into engineering velocity and capacity and risk. Cross-Functional Collaboration • Serve as the primary engineering liaison across departments within Beazley Security., • Ensure technical alignment with Beazley Security’s cybersecurity service offerings and evolving client needs., • Partner with Finance to track engineering spend across products and support software capitalization (CapEx) reporting., • Represent the engineering perspective in leadership discussions and planning sessions and client-facing conversations as needed. Engineering Operations • Establish and continuously improve engineering workflows, coding standards, testing practices, code review processes, and deployment pipelines., • Define and monitor key engineering KPIs and quality metrics., • Champion a culture of secure development ensuring security is embedded in the SDLC through practices., • Foster a collaborative, inclusive, and high-trust engineering culture where innovation and continuous learning are valued. Engineering Innovation • Own and drive the AI strategy across the engineering organization through product-facing AL capabilities and internal engineering productivity tooling., • Help define and ensure policies and best practices are met for the secure and responsible adoption of AI-assisted coding tools (e.g., code generation, automated testing, AI-powered code review) across the team., • Collaborate with product leadership to identify opportunities where AI and machine learning can enhance Beazley Security’s cybersecurity service offerings and client value., • Stay current with advancements in AI and assess its applicability to engineering workflows and product features to suggest improvements. Qualifications: • 8+ years of professional software engineering experience with at least 3–5 years in engineering leadership roles managing multi-team or multi-product engineering functions., • Proven track record of building, scaling, and retaining high-performing technical teams, including experience evolving organizational structures as teams grow., • Strong technical foundation in modern software development (e.g., Python, Node.js, TypeScript, Go) and cloud-native development on AWS Fargate and/or Azure EKS., • Experience working in or adjacent to environments where security and compliance are paramount., • Deep understanding of engineering best practices including CI/CD, agile methodologies, infrastructure-as-code, secure coding, and DevSecOps., • Experience with AI capabilities to help guide AI usage within products and in adopting AI-powered developer tools across the engineering team would be preferred., • Experience managing cloud infrastructure partnerships with IT including cost optimization, security hardening, and multi-cloud environments., • Experience leading or integrating outsourced/subcontracted engineering teams alongside in-house staff., • Excellent leadership, communication, and stakeholder management skills. Beazley Security offers: • Fully remote work opportunities to fit your lifestyle., • Competitive salary with a commission structure., • Flexible working arrangements to support balance., • Generous parental leave to support your family., • Private healthcare for your peace of mind., • A strong pension scheme to help secure your future., • A lifestyle allowance to enhance your well-being., • Life insurance and long-term disability coverage for added security., • Opportunities to grow through career advancement and ongoing training., • Access to industry conferences and events for professional development.

Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics, • Own the ML lifecycle from data preparation through training, evaluation, and deployment, • Implement and maintain MLOps workflows for continuous integration and delivery of ML models, • Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability, • Contribute to architecture decisions for ML pipelines and data flows, • Apply secure coding and configuration practices in line with compliance standards, • Mentor junior engineers and share best practices across the team, • Support innovation by researching emerging ML techniques and tools Your skillset may include: • ML Development Expertise: Hands-on experience building and deploying ML models, • Lifecycle Ownership: Ability to manage ML workflows from design to production, • Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling, • Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration, • Governance & Compliance: Familiarity with secure coding and quality assurance standards, • Collaboration & Mentoring: Ability to work across teams and support junior engineers, • Continuous Improvement: Commitment to learning and applying emerging ML techniques If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

The Role’s Purpose and Value: The Vice President / Senior Vice President of Software Engineering is responsible for defining, leading, and owning the engineering organisation that delivers Talogy’s product portfolio. This strategic role requires a leader who can build strong relationships across the organisation, collaborate effectively with senior stakeholders, and translate business priorities into a clear, scalable engineering strategy. The VP/SVP will shape Talogy’s engineering direction, partnering closely with the CTPO and business unit leads to identify, assess, and prioritise product initiatives. They will support sales and account management teams in client acquisition, retention, and growth by ensuring our technology capabilities meet evolving market needs. A key part of the role is leading and empowering the engineering organisation—ensuring teams are equipped, aligned, and enabled to deliver against the product roadmap. This role also plays a critical part in advancing Talogy’s use of AI, both in enhancing engineering productivity and in exploring how AI-driven capabilities can be responsibly incorporated into our products. This is a full-time, permanent position based in the UK or US, with flexible hours around core weekday availability. The role reports to Talogy’s Chief Technology & Product Officer (CTPO) and can be performed remotely, with occasional international travel for meetings, events, and workshops. Core Skills and Responsibilities: Technical Authority & Architecture Ownership: • Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated., • Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified., • Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture., • Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks., • Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment., • Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments. AI Strategy & Enablement: • Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments., • Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works., • Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance., • Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence. Team Leadership & Talent Development: • Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture., • Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers., • Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement., • Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning., • Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership. Cross-Functional Collaboration: • Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition., • Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business., • Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments., • Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs. Execution & Delivery Excellence: • Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management., • Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business., • Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products., • Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations., • Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery. Strategic Planning & Governance: • Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership., • Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition., • Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives., • Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation. Technical Expertise — Non-Negotiable: • 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company., • Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk., • Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk., • Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management., • Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates., • Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy’s multi-platform, acquisition-heavy environment., • Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001). Leadership & Organisational Experience: • Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment., • Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners., • Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling., • Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: • Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines., • Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications., • Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions. Operational Excellence & Strategic Execution: • Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes., • Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence., • Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements., • Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator.

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Job Title: Bioinformatics Scientist (Genomics & AI) Location: Europe (Remote / Hybrid options available) Type: Contract or Permanent (depending on candidate preference) Start Date: ASAP Overview We are working with a number of innovative organisations across the life sciences sector who are investing heavily in bioinformatics, genomics, and AI-driven research. As a result, we are looking to engage experienced Bioinformatics Scientists to support ongoing and upcoming projects focused on genomic data analysis, computational biology, and machine learning applications in drug discovery. Key Responsibilities • Analyse and interpret large-scale genomic and biological datasets, • Develop and maintain bioinformatics pipelines and workflows, • Apply statistical and machine learning techniques to biological data, • Collaborate with cross-functional teams including data scientists, biologists, and software engineers, • Support research and development initiatives in areas such as genomics and drug discovery, • Document methodologies, results, and best practices Required Experience • Proven experience in bioinformatics, computational biology, or a related field, • Strong programming skills (e.g. Python, R, or similar), • Experience working with genomic or multi-omics data, • Understanding of statistical analysis and/or machine learning techniques, • Familiarity with bioinformatics tools and pipelines Nice to Have • Experience in AI/ML applied to life sciences, • Exposure to drug discovery or clinical research environments, • Cloud platform experience (AWS, GCP, or Azure)

ROLE: Machine Learning Developer HOURS: Full-time LOCATION: Bristol (hybrid) At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We’re looking for a Machine Learning Developer to join our Insight function within the Data & AI team, helping to design, build and deploy intelligent, data‑driven solutions that improve operational efficiency and support better organisational decision-making. You’ll work on production‑grade machine learning and LLM‑enabled products, collaborating with a wide range of technical and non‑technical stakeholders to turn complex requirements into scalable, real‑world solutions. Role Responsibilities: • Develop, deploy and maintain machine learning models using Python, in line with engineering, governance and security standards., • Query, transform and optimise data using SQL and SparkSQL to support advanced analytics and modelling., • Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight., • Build and support cloud-based data and ML workflows using Azure, Microsoft Fabric or equivalent platforms., • Translate business problems into clear analytical and technical specifications, ensuring solutions align with user needs., • Communicate complex technical concepts clearly to both technical and non-technical audiences., • Ensure high standards of code quality, documentation and maintainability across all solutions. Required Qualifications: • A STEM degree or equivalent experience, with a strong mathematical, analytical or software-focused background., • Proven experience using Python, SQL and SparkSQL in data or ML-focused roles., • Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‑learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas., • Knowledge of natural language processing techniques and API integration patterns for ML services., • Experience delivering projects end-to-end, from initial concept through to production deployment., • Ability to manage competing priorities, work independently and collaborate effectively with stakeholders. Desirable Skills: • Experience with Microsoft Fabric, Azure Machine Learning or similar enterprise cloud platforms., • Exposure to MLOps practices, lifecycle management and large-scale or distributed compute environments., • Familiarity with agentic AI concepts and frameworks such as LangChain, AutoGen or CrewAI, with an interest in developing deeper expertise.

Hours: Monday to Saturday (AM) 23:30pm - 07:00am Location: 1 Barrow Road, Barton Hill, Bristol, BS5 0DW Salary: £31,442.00 (including shift allowance) Full time, permanent position. Who we are Vaultex are the UKs leading cash processing company, with sites nationwide. When you join us, you are supporting businesses to run securely and more efficiently, and ensuring continued access to cash for the millions of people that depend on it. To find out more you can visit our website. Job purpose In this role you will be responsible for handling, counting, and verifying cash transactions accurately and efficiently. Other key responsibilities include: Accurately process incoming and outgoing cash assignments, adhering to set customer deadlines and requirements. Identification of cash discrepancies and appropriate reporting Process/prepare all allocated items, including automated teller machine (ATM) cassettes, as required by daily role including receipt and dispatch. Amalgamation of cash counted to complete a daily balance. Wrap, strap, band, pack and weigh all cash, by denomination and type. Potential long periods of standing/sitting, including manual handling. Adhere to all company policies and regulatory requirements. Other daily duties as delegated by the leadership team. Knowledge, skills and experience required Ability to meet assigned targets/deadlines and work in a fast-paced environment Ability to handle physical tasks, such as lifting and moving cash bags. Potential long periods of standing. Health and safety awareness. Good attention to detail. Strong numeracy skills and numeric keyboard skills. Excellent timekeeping and attendance. What we offer you We are a Living Wage employer with Investors in People Platinum status, and as such have a great range of benefits: A generous company pension auto-enrolled 4% employee 10% employer. Competitive holiday allowance with an option to purchase additional holidays (varies by grade). Group life assurance 4 x salary. Group income protection. VaulteXtra discounts on retailers, cycle to work, childcare vouchers, gym membership, cash back on purchase, eye tests and many more. Employee Assistance Programme a free service should our employees require professional and impartial advice for legal advice and counselling. Robust Learning and Development team and opportunities for career progression. Performance based yearly bonus (grade dependant). One day paid volunteering opportunity each year. Mentorship programmes. Access to Peppy - a digital health platform providing support for healthcare in menopause, fertility, men's and women's health. Access to Aviva Digicare+ for annual health checks, nutritional consultations, mental health support, bereavement support and more. Access to Zurich's Virtual GP service. Charles Cameron - free access to independent mortgage advice. Our culture Vaultex acknowledges every persons right to feel valued, respected, and fairly rewarded for what they do. We foster a collaborative environment where everyone is encouraged to share their views and shape Vaultexs future. We are proud to demonstrate our commitment to transparency and progress as a Work180 endorsed employer. Find out more about our company culture by watching this Video. We are committed to building a diverse, inclusive and authentic workplace where everyone is supported to be their best. If you're excited about any of our roles but you feel like you don't tick every single box - we still encourage you to apply. You may be the right fit for this role or other roles in our wider team! Continue the conversation Vaultex UK Ltd is an equal opportunities employer and welcomes applications from all members of the community. We strongly encourage applications from those with disabilities, are culturally & linguistically diverse, are veterans and identify as LGBTQIA+. We value your lived experience and knowledge. If you require any reasonable adjustments throughout the recruitment process, please let us know. Upon submitting your application via the Workday link, you will receive an email notifying you of the outcome of your application when this has been reviewed. For successful candidates, the next stage will be a phone interview with the Vaultex recruitment team. If you would like to check the status of your application, please contact a member of the recruitment team. Due to the secure nature of our business, all successful candidates will need to provide a five-year traceable work history (satisfactory employment references or evidence to explain employment gaps) and complete a criminal record and credit background check. We look forward to hearing from you! TPBN1_UKTJ

Requisition ID 63608 Do you have the skills to fill this role Read the complete details below, and make your application today. Position Type FT Permanent Workplace Arrangement #LI-Onsite About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.About the role We are currently recruiting for two multi-skilled or electrically biasedMaintenance Technicians to the join the Engineering Team at our Portbury production facility in Bristol. The facility is a dry blending and mixing production facility where we create flavour blends for some of the world's best loved brands, 100's of tonnes of product are precisely measured, mixed and packaged every week. This is a permanent position, with a 3 shift pattern Week 1 - PM - 14 Week 2 - AM - 6. Week 3 - Nights - 22.00 - 6.00 Key responsibilities As a Maintenance Technician you will be responsible for • Complyingwith the health and safety policy and regulations., • Resolving breakdowns, carryout PMs and work on project / improvement works with a view to minimizing production downtime., • Carrying out risk assessments with the relevant people and put controls in place to minimise the risk to acceptable levels where reasonably practicable., • Lock off any dangerous machinery immediately/ or repair and notify., • Actively seek to undertake PMs on offline machinery where time allows., • Fully complete PM sheets with all observations, jobs completed and recommendations and file with the Maintenance Planner, whilst always looking at ways of improving to PMs., • Actively gain as much information as possible from production personnel regarding the fault on the machine to speed up the fault-finding process., • Ensure engineering log and computer systems are fully filled in with all relevant information including PM numbers, all used parts, plant numbers, urgency of required parts, at the end of each shift., • HNC, City & Guilds or time served apprenticewith appropriate electricalengineering qualifications., • Experience within a similar role ideally gained within a food manufacturing environment, if not food, experience within any manufacturing environmentis highlydesirable., • Electrically orbiased, or multi-skilled. PLC experience highly desirable., • Hydraulic and Pneumatic systems experience highly desirable, • Flexible approach with a positive'can-do' attitude., • Experience of SAP highly desirable. In Kerry we know that sometimes the perfect candidate doesnt exist, and people can be put off applying for a role if they dont fit all the requirements. If you are excited about working for us and have the majority of the skills or experience, then please do apply as you could be exactly what we are looking for. Why join Kerry? At Kerry, we believe in giving talented, curious people the opportunity to make a difference. We work as a team, searching for the best ways to inspire food and nourish life. We are a community of innovators, working across disciplines to solve global food challenges with a fresh approach. We want you to achieve whatever you put your mind to! We can offer you • Career development opportunities within a leading global player in sustainable nutrition, • Competitive salary, • Shift allowance, • Matched pension scheme up to 10%., • Life Assurance, • Employee benefit platform with discounts and offers for retailers online and offline, travelling, utilities and more., • Employee Assistance Program, supporting your emotional, physical, nutritional and financial wellbeing., • Inspiring People - Kerry's Global Recognition Program., • Access to Udemy, a learning platform with 1000's of free courses., • OurVoice, opportunity to share your feedback on the work environment every year., • OurShare, Kerry share plan available to all employees, with option to enroll once a year., • MyCommunity, have one day per year to volunteer for a worthwhile cause. In Kerry we benefit from the knowledge of our colleagues who bring a diverse range of cultures, backgrounds, lifestyles and experiences. One team fostering an inclusive culture that, above all, inspires food and nourishes life. One culture where everyone brings their unique perspectives and experiences to help make us better, together. We are committed to nurturing an environment of positivity and inclusiveness, where everyone can be at their best, both personally and professionally.Our recruitment, selection and assessment process are based on the skills and competencies of the specific roles and based entirely on merit. We are committed to and value Diversity and Inclusion in all recruitment processes within Kerry and do not discriminate based on gender, race, class, economic status, ethnic background, sexual orientation, age, political beliefs, veteran status, marital status or any other protected characteristic. Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a starter kit, investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. xrnqpay In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter #LI-JP2 Posting Type LI

IT Solution Architect Programme : LCST (Logistics Commodities & Services Transformation) Location: Bristol Role Overview: As a IT Solution Architect, you will be responsible for leading, designing and delivering complex end to end solutions using a multitude of applications and technologies within the supply chain management business domain. This role will assure that the solution architecture can meet thekey project functional and non-functional requirementsidentified for the LCST programme. The IT Solution Architect will lead the solution development through all phases of the delivery lifecycle, from requirements capture, high level design, low level design, development into the release and solution sustainment phases. Duties and Responsibilities: You will provide support to the Head of Architect (including at times covering for on a temporary basis) on a variety of design decisions including: Solution evaluation: buy vs. build vs reuse Platform selection Early-phase project estimates Ensuring compliance with all design principles and architecture frameworks Ensuring compliance with technical, security, customer and regulatory standards. Supporting customer and stakeholder meetings and technical discussions. Skills Required: Previous experience as a Solution Architect on large complex customer projects Production of cross domain (Business, Application Data, Infrastructure, Security) end to end architecture deliverables, such as proposal designs, high level designs and interface specifications Experience in bespoke and COTS applications Experience in integration concepts and technologies e.g. SOA, ESBs, EAI, XML, Web Services, MQ Experience working with large scale, distributed event driven architectures. Experience in cloud with AWS or similar Experience in working collaboratively within a multi-supplier/vendor environment Strong consulting, leading and mentoring skills along with the ability to effectively communicate and collaborate with stakeholders at all levels Broad knowledge of and experience with a wide variety of application technologies, platforms, and tools including web-based systems databases,middleware/integrationtechnologies, security, and infrastructure Excellent written, verbal, and presentation communication skills Excellent analytical and technical skills Bachelors Degree in related field and/or extensive related experience Skills Desired: Experience in multi-stakeholder logistics/ supply chain management solutions using modern commercial solutions such as: Integration Platforms Manufacturing/Repairssystems, Warehouse Management Systems, Transport Management Systems, Order Management System, Inventory Management Systems Enterprise Resource Planning Systems Procurement Systems Data, Analytics and MI systems Experience in TOGAF/MODAF is desirable Experience in Archimate Experience working in a CMMI level 3 environment Clearance Requirements: BPSS Pre-screening required to start SC Required for role Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Dynamic Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The Logistics Commodities & Services Transformation (LCST) Programme for the UK Ministry of Defence is a critical effort to enhance and improve the UKs defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing . We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. TPBN1_UKTJ

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)