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Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

\n Job title - AI & ML Systems Engineer \n Our client, a Cambridge based AI and ML Consultancy have an opportunity for an AI & ML Systems Engineer to join them. \n The role is mainly remote working with only one day per week when the AI/ML Engineer is required to be on site in Cambridge. \n Annual remuneration: Our client is willing to consider each application depending on number of years' experience \n About the role: \n Our client is seeking a versatile AI/ML & Systems Engineer to lead the architecture, machine learning development, and cloud integration for a next-generation asset monitoring and predictive platform. In this role, \n The AI/ML Systems Engineer will bridge the gap between complex time-series telemetry, geospatial data feeds, and predictive domain models. The AI/ML Systems Engineer will be responsible for building robust data and machine learning pipelines, integrating multi-source sensor streams, and developing Real Time visualisation systems to deliver actionable structural safety insights. \n This position offers the opportunity to take end-to-end ownership of scalable ML systems, from multi-modal data ingestion and distribution modelling to production-grade visualisation dashboards. \n Must-have experience: \n ? Probabilistic Time Series Forecasting: Experience using probabilistic time series methods (eg, Bayesian, PyMC, Amazon DeepAR) on small or scarce datasets for distribution prediction. \n ? Data Lake & DBaaS Integration: Proven ability to build scalable cloud data ingestion pipelines and database architectures using Python, PostgreSQL (with PostGIS for spatial data), Redis, or time-series databases. \n ? API & Middleware Development: Experience building robust RESTful APIs and WebSocket pipelines (using FastAPI, Flask) for streaming low-latency data and alert triggers between processing backends and Front End applications. \n ? Experience with cloud platforms (eg, AWS, Azure, or GCP) and Docker for containerising ML applications and microservices, ensuring reproducible environments across cloud platforms. \n ? Version Control & CI/CD: Proficient with Git, GitHub Actions, or GitLab CI for automated testing, continuous integration, and systematic release cycles. \n ? Agile Methodology: Track record of working in agile, sprint-based delivery environments to hit strict technical milestones.

\n Staff Machine Learning Engineer - News, Books, and Stocks Team\n Cambridge, Massachusetts, United States Software and Services \n In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers! Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps! Description\n Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day! Responsibilities\n \n • Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.\n, • Develop datasets, design model architecture, and prompt, train, or fine-tune models.\n, • Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.\n, • Drive application features from concept, model design, and development all the way to delivery.\n, • Lead highly cross-functional software projects.\n, • Be part of our thriving machine learning community at Apple.\n Minimum Qualifications\n \n, • MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.\n, • At least 5 years of experience shipping machine learning models in products.\n, • Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.\n, • Experience designing user-facing machine learning features with interdisciplinary partners.\n, • Experience with recommender systems.\n, • Experience with text-centric AI/ML (LLMs, document classification, search, etc.)\n, • Experience delivering high quality software at scale.\n, • Ability to communicate effectively and collaborate with partner teams.\n, • Commitment to encouraging an open and inclusive work environment.\n Preferred Qualifications\n \n, • Experience in a technical leadership role.\n, • Ph.D. in Machine Learning, Computer Science, or related field.\n \n At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $194,700 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits \n Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. \n Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant \n At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. \n Learn about accessibility in Apple’s workplace \n Learn about reasonable accommodations for job applicants \n Apple accepts applications to this posting on an ongoing basis. \n #J-18808-Ljbffr

We are seeking an ambitious Research Engineer to work at the intersection of machine learning and CPU microarchitecture on the Kirin CPU Team at Huawei R&D UK (Cambridge). You will use reinforcement learning, LLM agents and learned models to discover and validate improvements for next-generation out-of-order CPU cores, including agentic systems that turn research papers into simulated, measured results. This role suits someone early in their career who is equally comfortable in a cycle-accurate simulator and a training loop, and who has built systems from scratch because they wanted to understand how they work., • Build RL, Bayesian and LLM-agent-driven design-space exploration over gem5 and cycle-accurate models, using fast simulation for broad search and detailed models to validate the shortlisted candidates., • Develop agentic pipelines that read architecture papers, implement the proposed mechanisms in simulators, run experiments and verify results, including the reward design, sandboxing and checks that catch invalid or reward-hacked outcomes., • Train surrogate and ML performance models that predict IPC and PPA impact and reduce simulation cost., • Characterise emerging workloads on CPUs, such as on-device LLM inference, matrix and vector extensions, and KV-cache memory behaviour, and translate the findings into microarchitecture proposals., • Attribute performance bottlenecks as hardware-fixable, software-fixable or joint, and work with compiler, runtime and kernel engineers on co-design solutions., • Turn strong results into patents, internal reports and, where appropriate, publications. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. • Degree in Computer Science, Computer Engineering, Electrical Engineering or a related field (BSc, MSc or PhD), or equivalent practical experience., • Solid understanding of out-of-order CPU microarchitecture, including speculation, branch prediction, prefetching, caches and the memory hierarchy., • Strong C++ and Python., • Hands-on depth in at least two of the following:, • Architectural or cycle-accurate simulation (gem5, ChampSim, Scarab or similar), • Reinforcement learning or model training and post-training (PPO, GRPO or similar), • LLM agent systems and tool-driven automation, • Compilers or low-level performance kernels (LLVM/MLIR, CUDA/Triton, SIMD), • Evidence of building a non-trivial system end-to-end, such as an open-source project, a simulator extension, a compiler, a runtime or a tool you designed yourself., • Rigorous experimental methodology and the ability to read research papers critically., • PhD (completed or in progress) in computer architecture or ML systems., • Publications at ISCA, MICRO, HPCA or ASPLOS, or at MLSys, NeurIPS or ICML., • Experience with ML-based prefetchers or branch predictors, including CBP or DPC championship entries., • Familiarity with ARMv9 (SVE2, SME2) or RISC-V., • Understanding of the hardware cost of microarchitecture features (storage, timing and power), without RTL design responsibility., • Open-source contributions to gem5, ChampSim, LLVM/MLIR, or your own language, runtime or ML framework. Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: • Staying customer-centric,, • Inspiring dedication,, • Persevering,, • Growing by reflection., Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. #J-18808-Ljbffr

Apple Inc. in Cambridge is seeking a Machine Learning Research Engineer to advance imaging and camera software for iPhone devices. You will design and prototype algorithms for image processing, computer vision, and ML-enabled photo editing, turning research ideas into deployable features. You will stay current with ML and vision advances, collaborate with multi-disciplinary teams, and contribute to products used by millions of customers worldwide. #J-18808-Ljbffr

Job Title: Software Engineer IV (Python) – ML Tooling & Infrastructure Contract Duration: 12 months Location: Cambridge, UK (Hybrid: 3 days onsite) About the role We are hiring a Python-focused Software Engineer to build and maintain machine learning tooling and infrastructure used by research teams working on next-generation AI experiences. This role is ideal for engineers who enjoy building scalable ML pipelines, working with distributed compute, and collaborating directly with research scientists to deliver reliable internal tools. What you’ll do • Build robust, scalable ML tooling and infrastructure to support research workflows, • Develop systems that connect with compute clusters, data storage, source control, CI/CD, • Work closely with researchers to understand needs and translate them into stable tooling, • Own end-to-end engineering tasks: designing, coding, testing, deployment, support, • Debug complex issues across systems (data, training jobs, infrastructure, tooling), • Contribute to sprint-based delivery: improvements, bug fixes, stability initiatives What we’re looking for (must-have) • 4+ years industry experience as a Software Engineer (Python-focused), • Hands-on experience with PyTorch (or TensorFlow / similar DL frameworks), • Experience building ML pipelines / training infrastructure / research tooling, • Practical exposure to distributed compute (e.g., Ray, Spark, Kubernetes, Slurm, etc.), • Experience with CI/CD and deployment workflows Nice-to-have • Experience with audio ML, multimodal ML, or DSP-related ML, • Experience handling large real-world datasets, capture, or annotation pipelines, • Linux or shell scripting experience, • Exposure to hardware/prototype workflows or on-device deployment #J-18808-Ljbffr

Breakthrough technology is vital for strengthening UK defence and homeland security. As a Hardware Security Engineer Consultant at Awerian, you will be at the forefront of this innovation race and support interesting and challenging projects which contribute to the defence and protection of the UK from the latest technological and cyber threats. Awerian is continuing its rapid growth plan, making this a great time to join our multi-disciplinary team. You will build on our successful track record, developing your career at the cutting edge of research and development and supported by our team of experts. We’re a business of individuals – however, our curiosity brings us together and it drives what we do. Whether you’re leading a project or part of a project team, the ethos and structure of Awerian is designed to help you connect and thrive. Awerian works with leading industry and national defence partners to assess critical systems for potential vulnerabilities, contributing novel software and hardware cyber defence techniques which use Awerian’s physics-first approach to go far beyond the typical "IT approach" to cyber security. As a consultant at Awerian you will use your curiosity, creativity, and rigour to tackle diverse, real-world challenges which are typically at the forefront of emerging technologies. You will use your experience to undertake vulnerability research and develop proof-of-concept demonstrators, often in novel settings, pulling together third‑party components and building elements yourself. You will think about the connections between the software, hardware, technological infrastructure, and user interaction of systems to identify, understand, and design solutions to protect against potential vulnerabilities. You will see ideas become reality as you create impactful solutions through Awerian’s rapid approach to design and implementation. It’s a fantastically challenging, varied, and agile role. Awerian’s wide variety of projects often bring together aspects of science, engineering, machine learning and cyber, and span initial proofs‑of‑concept through to development of working prototypes, providing both intellectual and practical challenges. Projects are rapidly evolving, in line with both the nature of the technology landscape and our clients’ requirements and can span from a few months to years. Typical elements include: • Analysing and implementing the latest techniques and advances., • Generating novel concepts and approaches., • Researching potential vulnerabilities, often for niche applications., • Rapid prototyping and troubleshooting., • Designing and implementing proof‑of‑concept demonstrators., • Analysing results and drawing and presenting conclusions., • Making recommendations for further research. Projects will also stretch and develop your commercial awareness, through partnership with clients to understand their needs and deliver high‑quality outcomes at pace. • Hold a strong undergraduate degree in a relevant subject including (but not limited to) Maths, Physics, Engineering, or Computer Science., • Demonstrate applied experience in vulnerability research., • Be a fluent programmer in C, C++ or Python., • Possess knowledge of how system software and hardware interact at a low‑level, for example, at the operating system driver level., • Bring an outside‑the‑box approach, creative problem‑solving ability, independent mindset, and broad interest in developments across cyber security., • Be able to communicate effectively, both verbally and in writing., • Possess the ability to work both autonomously and collaboratively within an expert team in a high‑performing environment., • Experience in the UK Defence and Security sector., • Experience of, or the skills required for, client‑facing roles., • Technical expertise in one or more of the following areas:, • Reverse engineering., • Cyber‑physical systems., • Network and protocol analysis., • Low‑level programming on embedded systems or similar., • Virtualisation and containerisation., • Simulation, modelling and data analysis. Owing to the fast‑paced, collaborative nature of our work, successful applicant(s) would be expected to work full time on‑site, in our state‑of‑the‑art office and labs at the TTP Campus (Cambridge Road, Melbourn, SG8 6HQ). Awerian is a research and technology development consultancy, comprising ~40 mathematicians, scientists, and engineers. Awerian provides advanced R&D services to the UK defence and national security sector and specialises in delivering innovative solutions at pace to its clients’ most challenging technical problems. As part of the wider TTP Group, Awerian works closely with its sister consultancy TTP plc and shares state‑of‑the‑art facilities within a purpose‑built campus in green surroundings close to Cambridge. Awerian consultants regularly contribute and collaborate flexibly according to project needs, leveraging existing expertise and quickly upskilling in emerging areas. Immediately you will be encouraged to share and implement your ideas as a valued member of the team, enjoying a high level of autonomy and responsibility: managing your own time, taking ownership of tasks, and investing in shared project visions. Awerian operates a flat structure, without boundaries between different skill areas and with a strong culture of freedom and openness. This encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop project leadership, client management, and commercial skills alongside technical expertise. Supervision and mentorship are provided both formally and informally across several levels. Day‑to‑day work is typically organised around projects, with oversight provided by Project Leaders and support and mentorship on hand from more experienced colleagues. Each consultant is assigned a People Manager who provides support and guidance and takes a particular interest in their progress and development. Awerian, and the wider TTP Group, provides a supportive environment with on‑going opportunities for learning and sharing of expertise and skills, such as skills communities and in‑house developed training. Please click the following link to read the TTP Group Diversity Statement. • Annual profit‑related bonus, • Virtual shares that reward you with a stake in TTP Group’s long‑term success, • Employer pension contribution of 10% of salary, • Private medical insurance for employees and dependants, • Free onsite lunch, • Life insurance worth 6 × salary, • 25 days holiday, • Enhanced parental leave and flexible return‑to‑work support, • Electric car leasing and cycle‑to‑work schemes, • Interest‑free travel season ticket loan, • Local sports facilities and theatre discounts and memberships, • Comprehensive relocation support (if applicable) You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme. #J-18808-Ljbffr

Walker Cole International is exclusively partnered with a fast-scaling, AI-driven techbio company based in Cambridge. They are searching for a Head of Programme Management to own their OKR-driven operating model whilst leading delivery across science, engineering, clinical and commercial functions. • Owning and embedding the OKR framework across the company, driving alignment from leadership through to execution, • Leading delivery and execution of an ambitious, evolving AI/ML-based product roadmap, coordinating closely across ML, engineering, clinical and commercial teams, • Designing and managing the programme delivery budget, and managing timelines, dependencies and delivery risk in a research-heavy environment, • Partnering directly with senior leadership on strategy and execution, providing delivery, cost and risk updates, • Leading and developing a small team of Project Managers, building a high-performing, scalable function, • Operating as a cross-functional force multiplier, aligning stakeholders across technical and non-technical teams, • Bringing discipline to delivery across both fast-moving AI/ML development and regulated, GxP-adjacent processes, • An original background as an engineer or scientist, with a career since built in programme or delivery management, • Proven experience delivering complex software, data or AI/ML products into production within a high-growth scale-up environment, • A track record of successfully implementing and scaling OKR frameworks, or an equivalent structured operating cadence, • Experience in high-growth technology, deep-tech or life sciences scale-ups, • Demonstrated ability to lead through influence rather than authority alone, with the gravitas to be credible with senior technical teams, • Significant experience managing and developing cross-functional programme or project teams Programme Management | Head of Programme Management | Technical Programme Manager | OKR | OKRs | Objectives and Key Results | Delivery Lead | Product Delivery | AI | Artificial Intelligence | Machine Learning | ML | Techbio | Life Sciences | Clinical Trials | GxP | Scale-up | Cross-functional Leadership | Stakeholder Management | PMO | Agile #J-18808-Ljbffr

RedTech Recruitment Ltd. in Cambridge seeks a senior Machine Learning Research Engineer to explore novel NLP/LLM approaches, prototype concepts and push state-of-the-art in a fast-moving software environment. The successful candidate will hold a PhD related to NLP, work on cutting-edge research projects, and collaborate across product teams. Hybrid role with 3 days in office and remote work, offering a competitive salary and comprehensive benefits. #J-18808-Ljbffr

Walker Cole International is exclusively partnered with a fast-scaling, AI-driven techbio company based in Cambridge. They are searching for a Head of Programme Management to own their OKR-driven operating model whilst leading delivery across science, engineering, clinical and commercial functions. What you'll be doing: • Owning and embedding the OKR framework across the company, driving alignment from leadership through to execution, • Leading delivery and execution of an ambitious, evolving AI/ML-based product roadmap, coordinating closely across ML, engineering, clinical and commercial teams, • Designing and managing the programme delivery budget, and managing timelines, dependencies and delivery risk in a research-heavy environment, • Partnering directly with senior leadership on strategy and execution, providing delivery, cost and risk updates, • Leading and developing a small team of Project Managers, building a high-performing, scalable function, • Operating as a cross-functional force multiplier, aligning stakeholders across technical and non-technical teams, • Bringing discipline to delivery across both fast-moving AI/ML development and regulated, GxP-adjacent processes What you'll bring: • An original background as an engineer or scientist, with a career since built in programme or delivery management, • Proven experience delivering complex software, data or AI/ML products into production within a high-growth scale-up environment, • A track record of successfully implementing and scaling OKR frameworks, or an equivalent structured operating cadence, • Experience in high-growth technology, deep-tech or life sciences scale-ups, • Demonstrated ability to lead through influence rather than authority alone, with the gravitas to be credible with senior technical teams, • Significant experience managing and developing cross-functional programme or project teams Programme Management | Head of Programme Management | Technical Programme Manager | OKR | OKRs | Objectives and Key Results | Delivery Lead | Product Delivery | AI | Artificial Intelligence | Machine Learning | ML | Techbio | Life Sciences | Clinical Trials | GxP | Scale-up | Cross-functional Leadership | Stakeholder Management | PMO | Agile ID - 117794

iPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed by millions of people. As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines specifically for the company’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, we deliver the quality and features that help redefine computational photography. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you. You will leverage your research background and knowledge of image processing and machine learning to design, develop, and improve the company imaging and photo editing technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the cutting-edge developments in machine learning, computer vision, and computational photography, both in academia and in industry. You are expected to leverage your knowledge to work and influence the company's products, specifically as they relate to our camera systems. PhD in Computer Science or a related field (mathematics or physics), with a focus on or related work in machine learning, computer vision, or imaging Good understanding of in-camera processing Strong mathematical and statistical analysis background Familiarity with object-oriented programming languages such as C++ or Objective C Ability to work with cross-functional teams Strong analytical and problem-solving skills Excellent written and verbal communication skills Experience researching, developing, and implementing image processing and machine learning algorithms Experience training and working with generative models Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics #J-18808-Ljbffr

Graphcore in Cambridge is seeking a Senior Machine Learning Engineer for the Applied AI team to advance AI technology by developing and optimising models for our specialised hardware. You’ll work on large-scale systems where performance is critical, collaborating with software and research teams to push the state of the art. You’ll implement models end-to-end, evaluate experiments, and contribute to scalable, efficient AI solutions across multiple modalities, while remaining engaged with the AI #J-18808-Ljbffr

Arm seeks a talented software engineer with strong C++ experience to join our machine learning runtime and backend integration efforts. You will help design, develop, and optimise ML inference components across a modular codebase, collaborating with runtime, compiler, driver, and hardware teams. You'll work in a hybrid arrangement in the UK, contributing to performance improvements and model execution strategies, with opportunities to learn about acceleration technologies and AI workflows at Arm. #J-18808-Ljbffr

Specialist Software Engineer Cambridge, UK | Hybrid Join a cutting-edge R&D team developing next-generation cybersecurity technology designed to tackle sophisticated, real-world threats. This is a rare opportunity for an experienced engineer to combine hands-on development, software architecture, and technical leadership in an innovation-driven environment. • Lead the design and development of complex software systems., • Drive technical strategy and architecture decisions., • Develop scalable, production-grade solutions from concept to deployment., • Mentor engineers and champion engineering best practices., • Collaborate with cross-functional teams to deliver high-impact technology., • Senior, Lead, Staff, Principal, or Architect-level software engineering experience., • Strong expertise in Python, C++, Rust, or JavaScript., • Proven experience with software architecture and system design., • Experience with Docker, CI/CD pipelines, Git, and cloud platforms (AWS, Azure, or GCP)., • Strong analytical and problem-solving skills., • Ability to influence technical direction and work autonomously., • Cybersecurity, malware analysis, threat detection, or security product experience., • Statistical analysis, machine learning, or complex systems experience., • Previous mentoring or technical leadership experience. Work on genuinely challenging technical problems, shape innovative products, and collaborate with some of the brightest minds in engineering and cybersecurity. Salt is acting as an Employment Agency in relation to this vacancy. #J-18808-Ljbffr

Qureight, a Cambridge/London based biotech AI company, seeks a Machine Learning Engineer to scale its AI-driven imaging platform. You will focus on development, training, optimisation and inference of state‑of‑the‑art computer vision models on volumetric CT data, collaborating with ML Scientists, DevOps, Data Engineering and Software teams to turn research into robust workflows. You will ensure efficient training, secure deployment, and scalable operation, contributing to reproducible pipelines, #J-18808-Ljbffr

Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply! Care for Rare – Rare disease patients are at the heart of what we do Grow as individuals – We are learners always seeking to enhance our expertise Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform. Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases. You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress. Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn’t Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem Expand and maintain our existing GenAI tools so they keep pace with the team’s needs and a fast-moving ecosystem Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures Write clear, maintainable, well-documented code that others on the team can build on In 3 months, you have: Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements In 6 months you have: Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline — built on our framework, with sensible evaluation and documentation Operating with real independence — owning agentic workflows end to end, proposing improvements. We’d love to hear from you if You have built and shipped LLM‑agentic systems that deliver real value — agents that use tools, orchestrate multi‑step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals — you write clear, tested, maintainable Python code that others can build on Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‑moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‑engineers — you are the kind of person who'll sit with a scientist to understand what they actually need. It’s a bonus if you have: Experience in drug discovery, biology, or another life science domain Familiarity with knowledge graphs or reasoning over structured or heterogeneous data Experience building evaluation harnesses or testing strategies for LLM systems A track record of picking up unfamiliar domains quickly and becoming useful fast Interest in or experience with biotech / techbio and its impact on patient outcomes. Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate. Financial – Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary. Health and Wellbeing – Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme. Hybrid Working – We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration. Family Friendly – Enhanced family leave policies, miscarriage and fertility leave, flexible working practices. Personal Development and Growth – Personal learning and development budgets, regular personal development conversations and career support. Community Engagement and Support – One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases. For more information about Healx and how we use your data please go to https://healx.ai/privacy/ #J-18808-Ljbffr

We have an opportunity for a Senior Engineer in our AI & Algorithms team, working with a particular focus on our defence and security clients. You'll join a team of talented engineers and scientists designing, building and testing intelligent systems that solve hard, real-world problems, such as signal processing (sensor data, radar), vision, and information processing (transformers, edge AI). We have an opportunity for a Senior Engineer in our AI & Algorithms team, working with a particular focus on our defence and security clients. You'll join a team of talented engineers and scientists designing, building and testing intelligent systems that solve hard, real-world problems, such as signal processing (sensor data, radar), vision, and information processing (transformers, edge AI). As an AI Engineer, you'll take the technical lead on parts of our projects, mentor more junior colleagues, and play an active part in shaping and winning new work. With well-equipped labs and substantial computing resources behind you, you'll turn state-of-the-art research into systems our clients can depend on. Much of our defence and security work requires security clearance, so we ask for it up front. You won't work exclusively in that sector, but a genuine interest in it matters to us. Some examples of the projects we do can be found here. We offer a flexible approach to hybrid working, although some of the projects you will be working on will require full-time working in the office. • Applying data-driven software development in machine learning/AI, applied statistics, and sensor processing, alongside mathematical computing techniques such as digital signal processing, simulation, and numerical optimisation., • Taking technical ownership of significant parts of client projects, delivering quality work to budget and schedule with little supervision., • Acting as technical authority or technical lead on smaller projects and contributing to the technical direction of larger ones., • Mentoring and supporting less experienced engineers and helping them develop as technical consultants., • Working directly with clients to understand their problems, show what's possible, and build their confidence in our work., • Contributing to proposals and helping scope new work, translating client needs into credible technical approaches., • Building demonstrators and internal capability that showcase our expertise in defence, security and adjacent markets., • 3+ years' experience delivering applied AI and machine learning solutions, and the judgement that comes with it., • Strong Python programming skills and a solid grasp of modern software development practice., • A strong undergraduate degree in a relevant technical subject, such as AI/machine learning, computer science, mathematics, physics or theoretical physics., • A track record of delivering quality technical work in a team., • The ability to lead and mentor others., • An interest in working with clients and getting involved in proposals and sales conversations., • A genuine affinity for working in the defence and security sector. While not essential requirements, we would also be very interested if you have experience with any of the following: • Previous experience working on defence or security projects., • Technical experience with any of: signal processing, edge computing, statistical modelling, numerical optimisation, or simulation., • A PhD or published research in a data-driven field., • Experience leading or mentoring a small technical team. Because of where this role sits, holding (or being able to obtain) UK security clearance is essential. You must be eligible to obtain Security Check (SC) level security clearance (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government criteria. Cambridge Consultants creates exciting and novel breakthroughs in technology and products. Our work on intelligent systems area has helped create world-first and market-changing technologies including real-time AI-enhanced medical imaging, autonomous defence systems against cyberattacks, and edge algorithms to help visually impaired people navigate indoor spaces. We combine our research output with engineering rigour to create innovative and robust solutions to solve complex problems presented to us by our clients. We help clients across a diverse range of markets, including defence/security, healthcare, biotech, industrial and energy, so there is no shortage of variety. At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients. We offer a diverse, fun, and challenging work environment where you'll have the chance to work on a wide variety of projects that deliver real value using technology. We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. #J-18808-Ljbffr

Senior Machine Learning Applications and Compiler Engineer page is loaded## Senior Machine Learning Applications and Compiler Engineerlocations: UK, Cambridge: UK, Remotetime type: Full timeposted on: Posted Todayjob requisition id: JR2013261NVIDIA is seeking engineers to develop algorithms and optimizations for our inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! What you’ll be doing: Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization. Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems. Extend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms. Benchmark, profile, and monitor key performance and efficiency metrics to ensure the compiler generates efficient mappings of neural network graphs to our inference hardware. Collaborate closely with hardware architects and design teams to feedback software observations, influence future architectures, and codesign features that unlock new performance and efficiency points. Prototype and evaluate new compilation and runtime techniques, including graph transformations, scheduling strategies, and memory/layout optimizations tailored to spatial processors.* Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues. What we need to see: MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience, with 5 years of relevant experience. Strong software engineering background with proficiency in systems level programming (e.g., C/C++ and/or Rust) and solid CS fundamentals in data structures, algorithms, and concurrency. Hands on experience with compiler or runtime development, including IR design, optimization passes, or code generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors. Strong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements. Excellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams.* Ideal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning workloads. Ways to stand out from the crowd: Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale. Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability. Demonstrated research impact, such as publications or presentations at conferences like PLDI, CGO, ASPLOS, ISCA, MICRO, MLSys, NeurIPS, or similar. Experience with large-scale AI distributed inference or training systems, including performance modeling and capacity planning for multi rack deployments. #LI-Hybrid #J-18808-Ljbffr

Are you passionate about Artificial Intelligence acceleration and technologies for the future of computing? We have an excellent opportunity to apply your curiosity and creativity in crafting next generation AI hardware accelerators contributing to our system testing team! We have multiple open positions available across a range of experience levels. We’re growing our diverse team, and you’ll contribute to the development and verification of next-generation neural network hardware! Collaborating with experts across global design centers, you’ll help deliver Arm’s next-generation IP using sophisticated tools and methodologies. As a System Test Engineer, you will make a difference by influencing the verification strategy and methodology, taking ownership of complex work packages, and driving them to successful completion. The work involves designing and building test automation, developing and running test cases, and working with modern tools and infrastructure. We are a distributed team crafting and deploying advanced emulation environments for pioneering Neural Accelerators. Your work will help bridge the gap between silicon development and real-world deployment, improved system validation, and reducing time-to-market. You’ll collaborate with engineers across architecture, design, verification, and software, to optimize complex emulation workflows and use cases to support design bring-up, debug, feature validation, and system validation. • Meticulous attention to detail, ensuring high-quality verification that minimizes bug escapes., • Demonstrated experience in specifying, creating, and debugging system test environments, authoring test case, tracking results, and troubleshooting simulation/emulation mismatches and test failures., • Hands-on experience with emulation platforms such as ZeBu, Palladium, or Strato., • Familiarity with RTL languages such as SystemVerilog/Verilog, • Experience in collaboration with EDA vendors to introduce new capabilities, resolve tool issues, and contribute to future tool improvements., • Skilled in planning system test tasks and producing realistic effort and time estimates., • Experience with requirements definition and management., • Familiarity with UVM-based verification environments., • Experience with CI platforms and version control tools such as Git., • Proficiency in scripting such as Python or Perl to automate workflows and diagnostics., • Experience with software testing of embedded devices, • Practical knowledge of machine learning and neural networks., • Understanding of efficiency tuning techniques and performance analysis for large-scale emulation systems. If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply! • Care for Rare – Rare disease patients are at the heart of what we do, • Grow as individuals – We are learners always seeking to enhance our expertise, • Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together, • Innovate and deliver – Our mission requires rapid innovation and calculated risks that won't compromise our high standards Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform. Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases. You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. • Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress., • Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn't, • Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem, • Expand and maintain our existing GenAI tools so they keep pace with the team’s needs and a fast-moving ecosystem, • Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures, • Write clear, maintainable, well-documented code that others on the team can build on In 3 months, you have: • Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase, • Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements In 6 months you have: • Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline - built on our framework, with sensible evaluation and documentation, • Operating with real independence - owning agentic workflows end to end, proposing improvements. We'd love to hear from you if • You've built and shipped LLM-agentic systems that deliver real value - agents that use tools, orchestrate multi-step workflows and behave reliably in production., • You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals - you write clear, tested, maintainable Python code that others can build on, • Fluency with the modern LLM/agent toolkit - model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals)., • You enjoy working closely with non-engineers - you are the kind of person who'll sit with a scientist to understand what they actually need. It’s a bonus if you have: • Experience in drug discovery, biology, or another life science domain, • Familiarity with knowledge graphs or reasoning over structured or heterogeneous data, • Experience building evaluation harnesses or testing strategies for LLM systems, • A track record of picking up unfamiliar domains quickly and becoming useful fast, • Interest in or experience with biotech / techbio and its impact on patient outcomes. Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate. Financial - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary. Health and Wellbeing - Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme. Hybrid Working - We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration. Family Friendly - Enhanced family leave policies, miscarriage and fertility leave, flexible working practices. Personal Development and Growth - Personal learning and development budgets, regular personal development conversations and career support. Community Engagement and Support - One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases. For more information about Healx and how we use your data please go to https://healx.ai/privacy/ #J-18808-Ljbffr

We’re building software that helps Machine Learning and AI workloads run efficiently on the next generation of Arm compute platforms. Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch. The work sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ML software stack. We’re hiring across several levels of seniority, with scope and technical leadership matched to experience. Interested in understanding what happens below an ML framework? Curious about how software and hardware come together to make AI workloads faster and more efficient? This could be a great opportunity to explore both. The team develops and optimises C++ and Python software for Machine Learning workloads, working closely with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges and support the development of other engineers. We’re particularly interested in experience with: • Professional C++ development and complex software systems., • Machine Learning frameworks or tooling such as PyTorch., • Python for software development, ML tooling, testing or automation., • Debugging, performance analysis and solving complex software problems., • Collaborative software development using source control, code review, testing and continuous integration. Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every area. At Arm, you'll work with engineers solving challenging problems across AI, software and hardware, with opportunities to learn from specialists across our global engineering community. We support continuous learning and career development, alongside a collaborative working environment and a comprehensive range of employee benefits. We want our recruitment process to be accessible to everyone. If an adjustment or accommodation would help during the recruitment process, please let our recruitment team know. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. £73,500 - £99,500 per year #J-18808-Ljbffr

Selection changes the language of the page/content Cambridge, England, United Kingdom Software and Services iPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed by millions of people.As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines specifically for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, we deliver the quality and features that help redefine computational photography. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you. You will leverage your research background and knowledge of image processing and machine learning to design, develop, and improve Apple imaging and photo editing technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the cutting-edge developments in machine learning, computer vision, and computational photography, both in academia and in industry. You are expected to leverage your knowledge to work and influence Apple's products, specifically as they relate to our camera systems. • Experience researching, developing, and implementing image processing and machine learning algorithms, • Experience training and working with generative models, • Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch, • Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics, • PhD in Computer Science or a related field (mathematics or physics), with a focus on or related work in machine learning, computer vision, or imaging, • Good understanding of in-camera processing, • Strong mathematical and statistical analysis background, • Familiarity with object-oriented programming languages such as C++ or Objective C, • Ability to work with cross-functional teams, • Strong analytical and problem-solving skills, • Excellent written and verbal communication skills At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. #J-18808-Ljbffr

Secondmind is an Equal Opportunity Employer committed to fair, equitable treatment throughout the recruitment process and beyond. We actively champion applications from all backgrounds because we believe the best work happens when people can bring their authentic, original, and best selves to the team. If you require accommodation or assistance throughout the interview process due to a disability, please contact hr@secondmind.ai we are happy to help. Secondmind builds data-efficient Engineering AI software that helps teams make better design and performance optimization decisions faster. Our product reduces simulation and testing requirements without compromising quality, accelerating development and enabling more sustainable engineering teams. Our positive working culture is founded on a collaborative environment that encourages teamwork and innovation. We foster open communication and cross-functional collaboration, enabling diverse teams to work together to solve complex challenges. Our flexible workplace plan ensures a healthy work-life balance, accommodating various working styles and personal needs, whether through remote work options or adaptable schedules. We also prioritize personal and professional growth by offering development opportunities, including training and mentorship. This nurturing environment empowers our employees to thrive, continuously learn, and contribute meaningfully to advancing system design and calibration with our data-efficient machine learning solutions. Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently listed in the Barclays Eagle Labs Ones to Watch AI:100. As well as being recognized with the Automotive Testing Technology International 'Alternative Powertrain Test Innovation of the Year Award 2024'; selected for the Tech Nation Future Fifty scale-up program, and named by Bloomberg as one of the UK’s 25 Startups to Watch 2024. We are seeking a Senior Technical Solutions Engineer to support and expand our automotive, off-highway, and engine customer base across the European market, including the UK. This customer-facing technical role is responsible for helping customers evaluate, adopt, and realize value from Secondmind's AI-driven Design Space Exploration and Calibration solutions. Working closely with Account Executives, ML Engineers, and Product teams, you will deliver compelling demonstrations of the Secondmind SaaS AI platform, lead technical evaluations, provide customer training and frontline technical support, and lead proof-of-concept (PoC) projects for both existing and prospective customers. Leveraging your experience in automotive, commercial vehicle, off-highway, or powertrain engineering, you will help customers understand how Secondmind's AI technology accelerates engineering workflows, improves calibration, and enables more efficient design space exploration. This is an exciting opportunity to join a fast-growing company operating in a dynamic startup environment, where your technical expertise, customer engagement, and problem-solving skills will play a key role in driving customer adoption, technical success, and long-term business growth. • Take ownership of and lead pre-sales and frontline customer support engagements, including discovery workshops, solution mapping, and tailored product demonstrations., • Engage with customers to identify opportunities to apply Secondmind's AI platform across the automotive engineering V-cycle, including automotive, commercial vehicle, off-highway, and powertrain development., • Lead technical evaluations, proof-of-concept (PoC), and pilot projects by defining success criteria., • Partner with sales leadership to develop and deliver compelling technical presentations, proposals, demonstrations, and supporting collateral., • Serve as a trusted technical advisor to customers throughout onboarding, deployment, and adoption, ensuring long-term customer success., • Collaborate with Product Management and ML Engineering teams to provide customer feedback and influence product features, capabilities, and roadmap priorities., • Represent Secondmind at customer meetings, industry conferences, technical workshops, and other events across Europe., • Hands-on engine or powertrain calibration experience, including model-based calibration and design of experiments, with practical knowledge of calibration toolchains (e.g. ETAS, INCA, ASCMO or AVL Cameo)., • Proven experience in a technical role for automotive, powertrain or off-highway applications., • Experience or understanding of engine calibration and toolchains used as part of calibration., • Familiarity with AI/ML methods and their application to engineering, calibration optimization, or design exploration., • Experience in engineering for vehicle, and engine development. And understanding of calibration and use of CAE tools in this space., • Proven ability to communicate complex technical concepts clearly to both technical and executive audiences., • Bachelor’s degree in engineering or related technical discipline (Master’s preferred)., • Familiarity with engine simulation and CAE tools used in engine development (e.g. GT-SUITE, Simcenter or similar). You'll thrive in this role if you're someone who combines deep technical credibility with genuine enjoyment of customer-facing work - comfortable leading workshops, running demos, and translating complex AI and calibration concepts for both engineers and executives. You're naturally curious about customer problems, energized by proving value through hands-on PoCs and pilots rather than just pitching, and equally at ease collaborating internally with ML and Product teams as you are representing the company externally at conferences and customer sites. You bring a consultative, trusted-advisor mindset, thrive amid the ambiguity and pace of a growing startup, and take genuine satisfaction in seeing a customer succeed as a result of your technical guidance. We offer a working environment that is inclusive, stimulates innovation and continuous learning, and that thrives on growth and change. Our culture is underpinned by our values; they are what we stand for, part of our DNA. They help us to attract and retain the right talent and customers, help us make the right decisions and clarify how we should all behave and treat one another, they are: • Delight every customer (Customers), • No bar too high (Excellence), • Give more than take (Sustainability), • Make the impossible, possible (Innovation) print(''))} FileNotFoundError: [Errno 2] No such file or directory: 'tmp/ipykernel_1/3429724009.py' #J-18808-Ljbffr

About the role Neural Concept's Vertical Solutions team turns the most common engineering use cases into streamlined, production-grade workflows empowered by leading AI technologies. As an AI Workflows Engineer, you will own the design and delivery of AI-powered, Python-first engineering solutions for a specific industry application. You will collaborate with the Vertical Solutions Product Manager and key customers to define the roadmap and build workflows that integrate design, simulation, and machine learning—helping to shorten product development cycles and amplify impact. As the primary developer, you will work closely with CAD and CAE specialists to implement, maintain, and evolve these solutions. You will also identify reusable components that can be integrated into the Neural Concept platform, ensuring consistency, driving innovation, and accelerating adoption across applications. What you will do Lead the design and delivery of AI-powered engineering workflows for specific industry applications and integrate them into the Neural Concept platform for scalable adoption. Build & integrate: act as primary Python developer — define clean interfaces with CAD/CAE specialists; own coding, testing, CI, packaging, and releases Upstream reusable components to the Neural Concept platform. Standardize: stay close to active projects; spot recurring pain points and patterns, and turn them into reusable templates, presets, and best practices. Engage reference customers and end users to gather feedback, and drive adoption. Help define and review documentation, playbooks and hands-on training sessions. Who you are Must have: Experience leading and shipping production Python tools in fast-moving, cross-functional teams. Hands-on Python engineer with strong software practices: packaging, testing (pytest), CI, code review, docs, and git. Provide technical direction and architecture while remaining the primary hands-on developer for vertical workflows; comfortable integrating external tools and defining clean data/interfaces for specialists. Clear, concise communicator who collaborates effectively across teams. Location: Lausanne (Switzerland) or Cambridge (UK), or willing to relocate; hybrid setup with up to 2 remote days/week. Nice to have: Industry exposure (e.g., automotive, aerospace, energy) and familiarity with product design processes is a strong plus. Familiarity with CAD and/or CAE is a strong plus. Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) is a strong plus. What You Get Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. Benefit from a competitive salary and rewarding opportunities as we continue to scale. Thrive in a collaborative, multicultural environment where your work is visible and recognized. Develop professionally alongside talented colleagues who share knowledge freely and support one another. Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. #J-18808-Ljbffr

Platform Recruitment is seeking a Machine Learning Engineer (Computer Vision) in Cambridge to design, train, and deploy computer vision models, building production‑ready systems for real‑world environments. You will work with engineers, data scientists, and domain experts across the ML lifecycle, applying PyTorch or TensorFlow and delivering robust CV solutions for deployment in production settings. #J-18808-Ljbffr

Roku seeks a Senior Software Engineer with strong machine-learning infrastructure experience to advance the Roku Entertainment Assistant team. You will own production systems across ranking, model delivery, evaluation and agent behaviour, collaborating with ML, product and platform partners. This hands-on role balances software architecture, ML lifecycle decisions, and production operations, improving training, evaluation, deployment, and observation paths while managing latency, quality and #J-18808-Ljbffr

We’re looking for strong C++ software development experience, ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional or performance issues across frameworks, runtimes, compilers, drivers, and hardware abstraction layers. The work brings together engineers across runtime, compiler, driver, and hardware teams to design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Experience across every area below is not expected. Relevant knowledge or experience could include: • Developing delegates, execution providers, plugins, or other backend integration mechanisms, • GPU programming or machine learning acceleration technologies such as Vulkan, OpenCL, TOSA, or compute kernels, • Designing or implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads, • Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation, • Validating, benchmarking, profiling, or analysing AI model performance, • Developing compiler technologies, intermediate representations, or hardware abstraction layers, • Building automated tests and CI/CD workflows for large-scale software projects, • Applying AI-assisted development tools responsibly to improve engineering productivity and software quality Interested in exploring how machine learning models move from high-level frameworks through the software stack to hardware acceleration? This role provides opportunities to deepen expertise in machine learning runtime development and hardware-accelerated AI execution. The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning and fallback mechanisms, AOT and JIT compilation, model validation and benchmarking, performance optimisation, and automated validation workflows. There are also opportunities to build a broader understanding of how machine learning frameworks, software, compilers, and hardware come together to deliver efficient AI experiences on Arm technology. At Arm, we want our people to learn, contribute, and grow while working on technologies shaping the future of AI and computing. The role offers opportunities for professional development, collaboration with colleagues across our global engineering community, and exposure to challenging technical problems with real-world impact. Arm provides a comprehensive range of employee benefits and support designed to help our people thrive at work and beyond. Benefits vary by location and can include support for health and wellbeing, financial wellbeing, time away from work, and professional development. We want our recruitment process to be accessible and inclusive. Reasonable accommodations are available throughout the recruitment process, and we encourage candidates who require support to let us know so that appropriate adjustments can be considered. If Skilled Worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. Fees associated with the individual’s application, such as the visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. #LI-CM1 At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email _. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Qureight Ltd. is seeking a Machine Learning Engineer to advance our state-of-the-art 3D medical imaging platform. You will focus on training, inference, and deployment of scalable computer vision models on volumetric CT data, collaborating with ML scientists, DevOps and software engineers to move research into production. The role emphasises robust, scalable pipelines, containerised workflows, and secure, compliant deployment in cloud environments. Strong Python and PyTorch skills are essential. #J-18808-Ljbffr

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification, • Training in Python, Machine Learning, and AI systems, • Hands-on projects using real-world AI tools and technologies, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support, • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000, • Machine Learning Engineer: £60,000 – £75,000, • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Join to apply for the Senior DevOps Engineer role at Roku. Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we’re working to power every television in the world. We pioneered streaming to the TV, and our mission is to be the TV streaming platform that connects the entire TV ecosystem by linking consumers to content, enabling publishers to build and monetize audiences, and providing advertisers with unique capabilities to engage viewers. From your first day at Roku, you’ll make a valuable contribution. We’re a fast-growing public company where no one is a bystander, offering opportunities to delight millions of TV streamers while gaining experience across disciplines. The Advanced Development team pushes boundaries beyond product lines to build genuinely new things. We work on foundational technologies that could impact every Roku device in the future and explore ideas outside standard shipping cadences and timelines. We are seeking exceptional talent for an exceptional team. Team members are experts who collaborate, own decisions, and push against convention to build something singular and new. They foster trust and have little room for drama. With over 80 million global users, Roku aims to create products that “just work” with an intuitive, magical experience out of the box. We are seeking a skilled Sr. DevOps Engineer to join the Advance Development Team. This team builds and scales Roku’s platform, utilizing technologies such as Kubernetes, Istio, Envoy, and other OSS/CNCF–supported tools. You will drive Roku’s transition to a unified, cloud-agnostic system, maintain and enhance our service mesh, observability platform, and CI tooling. We’re looking for engineers who thrive in collaborative environments, enjoy cross-team work, and are passionate about automation, security, and data-driven metrics like SLOs and SLAs. If you’re proficient in Kubernetes, the CNCF ecosystem, and enjoy optimizing workloads and simplifying debugging for teams, this role is ideal. Join us to shape Roku’s infrastructure future. • Work on AWS ECS, Kubernetes & Service Mesh to manage our growing fleet of clusters globally, • Identify feature gaps, bugs, scalability issues, and other challenges when working with internal customers, • Collaborate with internal teams, stakeholders, and partners to implement effective solutions, • Provide daily support to customers as they onboard and use our platforms, helping them optimize value, performance, and reliability, • Contribute to enhancing platform capabilities with a focus on reliability and scalability, • Conduct feature, functionality, and usability trials for new tools that could benefit Roku, • Exhibit strong communication skills and maintain a support-oriented approach when interacting with both technical and non-technical audiences, • Extensive experience in Infrastructure engineering, DevOps and/or Software Engineering, with a focus on cross-team engagement, • Familiarity with ECS, Kubernetes, and Istio as the platform architecture, and how they integrate and scale, • Expertise with open-source observability tools in large-scale environments (Datadog, Prometheus, Grafana, ELK, Jaeger, Kiali, Loki, etc.), • Past success in supporting a large engineering team on a central platform; strong interpersonal skills and constructive communication are key, • The drive and self-motivation to understand intricate details of a complex infrastructure, • Ability to work independently in a highly distributed, multi-national team across time zones, • Hands-on experience with AWS and/or GCP, • Experience with scripting or infrastructure languages (Terraform, Helm, Shell, Python) and being part of on-call rotations, • B.S. or M.S. in Computer Science, Engineering, or equivalent experience Roku is committed to offering a diverse range of benefits as part of our compensation package to support employees and their families. Benefits include global mental health and financial wellness resources, and local benefits such as healthcare (medical, dental, vision), life, disability, commuter, and retirement options (401(k)/pension). We support time off for vacation and personal reasons. Not all benefits are available in every location or role; consult your recruiter for details specific to your location. Roku is a fast-paced place where everyone focuses on the company’s success. We value talented, easy-to-work-with people who keep egos in check and appreciate a sense of humor. We believe a smaller number of highly capable people can achieve more than a larger team with less talent. We’re independent thinkers with big ideas who act boldly, move fast, and achieve extraordinary things through collaboration and trust. Roku is changing how the world watches TV. We think of ourselves primarily as problem-solvers who build and deliver solutions to customers. This practical approach to innovation has defined Roku since 2002. To learn more about Roku, our global footprint, and how we’ve grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku’s Applicant Privacy Notice, and understand Roku will use your information as described in that notice. If you do not wish to receive communications, you may unsubscribe here at any time. #J-18808-Ljbffr

Arm's Partner Enablement group is seeking an experienced Applications Engineer to support Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs and ecosystem partners on Arm-based systems. You will work with engineering teams to enable adoption, provide training, documentation and hands-on support throughout partner development journeys. Based in Cambridge with hybrid working, you will collaborate across hardware, ML and applications teams, mentor engineers, and #J-18808-Ljbffr

Breakthrough technology is vital for strengthening UK defence and homeland security. As a Hardware Security Engineer Consultant at Awerian, you will be at the forefront of this innovation race and support interesting and challenging projects which contribute to the defence and protection of the UK from the latest technological and cyber threats. Awerian is continuing its rapid growth plan, making this a great time to join our multi‑disciplinary team. You will build on our successful track record, developing your career at the cutting edge of research and development and supported by our team of experts. We’re a business of individuals – however, our curiosity brings us together and it drives what we do. Whether you’re leading a project or part of a project team, the ethos and structure of Awerian is designed to help you connect and thrive. Awerian works with leading industry and national defence partners to assess critical systems for potential vulnerabilities, contributing novel software and hardware cyber defence techniques which use Awerian’s physics‑first approach to go far beyond the typical “IT approach” to cyber security. As a consultant at Awerian you will use your curiosity, creativity, and rigour to tackle diverse, real‑world challenges which are typically at the forefront of emerging technologies. Hardware Security at Awerian demands technical expertise coupled with creative thinking to understand the connections between the software, hardware, underpinning infrastructure, and user interaction of systems to identify, understand, and design solutions to protect against potential cyber‑physical vulnerabilities. You will use your experience to understand systems, identify potential hardware or cyber‑physical security implications and develop proof‑of‑concept demonstrators, often in novel settings, pulling together third‑party components and building elements yourself. And you will see ideas become reality as you create impactful solutions through Awerian’s rapid approach to design and implementation. It’s a fantastically challenging, varied, and agile role. Awerian’s wide variety of projects often bring together aspects of science, engineering, machine learning and cyber, and span initial proofs‑of‑concept through to development of working prototypes, providing both intellectual and practical challenges. Projects are rapidly evolving, in line with both the nature of the technology landscape and our clients’ requirements and can span from a few months to multi‑year programmes. Typical elements include: • Understanding systems on a deep technical level through intense research and testing., • Considering potential cyber‑physical vulnerabilities, often for niche applications., • Generating novel concepts and approaches to address challenges., • Rapid prototyping and troubleshooting., • Designing and building proof‑of‑concept demonstrators, or special products., • Analysing results and drawing and presenting conclusions., • Making recommendations for further research. Projects will also stretch and develop your commercial awareness, through partnership with clients to understand their needs and deliver high‑quality outcomes at pace. Successful applicants will demonstrate some of the following key attributes: • Hold a strong undergraduate degree in a relevant subject including (but not limited to) Engineering, Computer Science or Physics., • Possess understanding of electronics hardware, sensors, and/or systems and their functionality in real world applications., • Demonstrate experience interfacing with and debugging a range of hardware, for example, via standard protocols (e.g. JTAG, UART) or test and measurement equipment (e.g. oscilloscopes)., • Be able to design and build hardware prototypes and demonstrators., • Bring an outside‑the‑box approach, creative problem‑solving ability, independent mindset, and broad interest in developments across cyber security., • Be able to communicate effectively, both verbally and in writing., • Possess the ability to work both autonomously and collaboratively within an expert team in a high‑performing environment., • Experience in the UK Defence and Security sector., • Experience of, or the skills required for, client‑facing roles., • Technical expertise in one or more of the following areas:, • Vulnerability research and reverse engineering., • Cyber‑physical systems., • Low‑level programming on embedded systems or similar., • Tamper‑proof electronics., • Communications, networking, and protocol analysis., • RF technologies and Software Defined Radio. Owing to the fast‑paced, collaborative nature of our work, successful applicant(s) would be expected to work on‑site full time, in our state‑of‑the‑art office and labs at the TTP Campus (Cambridge Road, Melbourn, SG8 6HQ). • Annual profit‑related bonus, • Virtual shares that reward you with a stake in TTP Group’s long‑term success, • Employer pension contribution of 10% of salary, • Private medical insurance for employees and dependants, • Free onsite lunch, • Life insurance worth 6 x salary, • 25 days holiday, • Enhanced parental leave and flexible return‑to‑work support, • Electric car leasing and cycle‑to‑work schemes, • Interest‑free travel season ticket loan, • Local sports facilities and theatre discounts and memberships, • Comprehensive relocation support (if applicable) You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme. Please click the following link to read the TTP Group Diversity Statement. #J-18808-Ljbffr

We're building software that helps Machine Learning and AI workloads run efficiently on the next generation of Arm compute platforms. Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch. The work sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ML software stack. We’re hiring across several levels of seniority, with scope and technical leadership matched to experience. Interested in understanding what happens below an ML framework? Curious about how software and hardware come together to make AI workloads faster and more efficient? This could be a great opportunity to explore both. The team develops and optimises C++ and Python software for Machine Learning workloads, working closely with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges and support the development of other engineers. • Professional C++ development and complex software systems., • Machine Learning frameworks or tooling such as PyTorch., • Python for software development, ML tooling, testing or automation., • Debugging, performance analysis and solving complex software problems., • Collaborative software development using source control, code review, testing and continuous integration. Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every area. At Arm, you'll work with engineers solving challenging problems across AI, software and hardware, with opportunities to learn from specialists across our global engineering community. We support continuous learning and career development, alongside a collaborative working environment and a comprehensive range of employee benefits. We want our recruitment process to be accessible to everyone. If an adjustment or accommodation would help during the recruitment process, please let our recruitment team know. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Salary Range: £97,300 - £131,700 per year #J-18808-Ljbffr

Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply! • Care for Rare – Rare disease patients are at the heart of what we do, • Grow as individuals – We are learners always seeking to enhance our expertise, • Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together, • Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform. Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases. You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. • Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress., • Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn’t, • Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem, • Expand and maintain our existing GenAI tools so they keep pace with the team’s needs and a fast-moving ecosystem, • Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures, • Write clear, maintainable, well-documented code that others on the team can build on In 3 months, you have: • Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase, • Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements In 6 months you have: • Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline — built on our framework, with sensible evaluation and documentation, • Operating with real independence — owning agentic workflows end to end, proposing improvements. We'd love to hear from you if • You've built and shipped LLM-agentic systems that deliver real value — agents that use tools, orchestrate multi-step workflows and behave reliably in production., • You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals — you write clear, tested, maintainable Python code that others can build on, • Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals)., • You enjoy working closely with non-engineers — you are the kind of person who'll sit with a scientist to understand what they actually need., • Experience in drug discovery, biology, or another life science domain, • Familiarity with knowledge graphs or reasoning over structured or heterogeneous data, • Experience building evaluation harnesses or testing strategies for LLM systems, • A track record of picking up unfamiliar domains quickly and becoming useful fast, • Interest in or experience with biotech / techbio and its impact on patient outcomes. Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate. • Financial – Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary., • Health and Wellbeing – Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme., • Hybrid Working – We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration., • Family Friendly – Enhanced family leave policies, miscarriage and fertility leave, flexible working practices., • Personal Development and Growth – Personal learning and development budgets, regular personal development conversations and career support., • Community Engagement and Support – One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases. For more information about Healx and how we use your data please go to https://healx.ai/privacy/ #J-18808-Ljbffr

Job ID 2026-18292 Date posted 21/08/2026 Location Cambridge, United Kingdom Category Machine Learning In the Developer Platforms group at Arm, our mission is to make AI software development on the Arm architecture simple and intuitive. We are growing our team and are looking for a passionate Staff ML Engineer to help us build our expertise in ML tooling and deliver the next generation of developer experiences for Arm. The ideal candidate will combine strong software engineering skills with deep practical experience of ML model optimisation and deployment. You will help make sophisticated ML optimisation techniques accessible to developers by building tools that analyse, optimise, and prepare models for efficient execution on Arm-based platforms. You will work across developer tools, ML frameworks and emerging Arm hardware, helping shape both the technical direction and developer experience of our ML tooling. • Join an established engineering team to define, design and deliver production-grade model analysis and optimisation tooling for edge developers, delivered through web services and desktop applications., • Provide technical leadership in the ML tooling space, identifying gaps in existing technologies and helping shape the architecture and roadmap for our ML developer tooling., • Work across ML frameworks, runtimes and both existing and future hardware to understand capabilities and constraints and turn these into intuitive experiences for developers who may not be ML experts., • Build effective relationships with distributed engineering teams, product managers and UX specialists to enable strong collaboration and ensure our tooling meets real developer needs., • Drive demonstrable engineering quality through maintainable software, automated testing, continuous integration, effective engineering processes and customer feedback., • A strong understanding of neural-network architecture and model execution, including computational graph representation and transformation, operator dispatch, memory planning, backend partitioning and execution across heterogeneous hardware., • Proven experience in hardware-aware model optimisation techniques such as quantisation, graph optimisation, operator fusion and precision reduction., • Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO., • Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size and accuracy., • A passion for building high-quality developer tools and intuitive workflows that make complex ML capabilities intuitive and easy to use by our target developers., • ML model inspection, visualisation, profiling or benchmarking tooling., • Understanding of how ML workloads are deployed across CPUs, GPUs and ML accelerators, and how models, runtimes, execution backends and hardware interact., • Linux, containers and high-level languages such as Python and TypeScript., • Experience building developer-facing CLIs, SDKs, APIs or web tools, with an interest in UX, interaction design and developer workflows., • A product mentality and commitment to developer experience, with a history of engaging directly with developers, identifying and validating their needs, and using prototypes, customer feedback and analytics to iteratively improve developer-facing products. You will have the opportunity to build and lead a new team working with innovative technologies in an agile environment which requires proactivity, dynamic approaches to problem solving and creative thinking. An opportunity to work on greenfield software products which ship with new Arm hardware on day one. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. £97,300 - £131,700 per year #J-18808-Ljbffr

We’re looking for strong C++ software development experience, ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional or performance issues across frameworks, runtimes, compilers, drivers, and hardware abstraction layers. The work brings together engineers across runtime, compiler, driver, and hardware teams to design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. • Developing delegates, execution providers, plugins, or other backend integration mechanisms, • GPU programming or machine learning acceleration technologies such as Vulkan, OpenCL, TOSA, or compute kernels, • Designing or implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads, • Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation, • Validating, benchmarking, profiling, or analysing AI model performance, • Developing compiler technologies, intermediate representations, or hardware abstraction layers, • Building automated tests and CI/CD workflows for large-scale software projects, • Applying AI-assisted development tools responsibly to improve engineering productivity and software quality Interested in exploring how machine learning models move from high-level frameworks through the software stack to hardware acceleration? This role provides opportunities to deepen expertise in machine learning runtime development and hardware-accelerated AI execution. The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning and fallback mechanisms, AOT and JIT compilation, model validation and benchmarking, performance optimisation, and automated validation workflows. There are also opportunities to build a broader understanding of how machine learning frameworks, software, compilers, and hardware come together to deliver efficient AI experiences on Arm technology. At Arm, we want our people to learn, contribute, and grow while working on technologies shaping the future of AI and computing. The role offers opportunities for professional development, collaboration with colleagues across our global engineering community, and exposure to challenging technical problems with real-world impact. Arm provides a comprehensive range of employee benefits and support designed to help our people thrive at work and beyond. Benefits vary by location and can include support for health and wellbeing, financial wellbeing, time away from work, and professional development. We want our recruitment process to be accessible and inclusive. Reasonable accommodations are available throughout the recruitment process, and we encourage candidates who require support to let us know so that appropriate adjustments can be considered. If Skilled Worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. Fees associated with the individual’s application, such as the visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. £73,500 - £99,500 per year #J-18808-Ljbffr

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. The Roku Entertainment Assistant team builds conversational AI experiences used across millions of Roku devices. The team works across fulfilment ranking, model delivery, offline and online evaluation, low-latency services, observability and product quality. Its published work includes shared model-serving and MLOps paths, automated evaluation and retraining, caching and telemetry, and agent-assisted release and operational workflows. We are looking for a Senior Software Engineer with strong machine-learning infrastructure experience to help the Roku Entertainment Assistant team deliver reliable, high-quality conversational experiences at scale. You will own production systems across ranking, model delivery, evaluation and LLM-agent behaviour, working closely with machine-learning, product, data and platform partners. This is a hands-on engineering role for someone who can move comfortably between software architecture, ML lifecycle decisions and production operations. You will improve the paths the team uses to train, evaluate, deploy and observe models, while helping us manage latency, quality and cost as the product grows. At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. • Own fulfilment-ranking pipelines from training orchestration and quality gates through deployment and online validation., • Build and operate an offline-evaluation platform, combining LLM-as-judge harnesses with deterministic checks for answer quality., • Develop the Roku Entertainment Assistant's LLM agent, including tool routing, retrieval, guardrails and answer caching., • Design caching as an intentional latency and cost lever for high-volume services., • Build observability for ML and LLM systems, including latency attribution, quality metrics, tracing and per-request cost., • Improve the reliability and operability of distributed systems, and lead the diagnosis of difficult cross-service failures., • Drive accountable AI-assisted engineering practices across the team, building on the agents already used in release workflows., • Work across machine-learning, product, data and platform boundaries to turn ambiguous problems into measurable delivery outcomes., • Strong production software-engineering experience, including designing, testing, operating and debugging distributed services., • Meaningful ownership of ML infrastructure or production model delivery, with clear evidence of your contribution and its operational or adoption impact., • A practical understanding of the ML lifecycle: training, evaluation, versioning, deployment, online validation, monitoring and safe rollback., • Experience designing for latency, resilience, observability and cost in production systems., • Experience with LLMs, embeddings, semantic search, retrieval or agent systems, including how you evaluate quality and control failure modes., • Experience with caching systems and the trade-offs involved in using caching for low-latency services., • A commitment to automation, CI/CD, code quality and evidence-led engineering decisions., • A collaborative approach and the ability to explain technical trade-offs to partners across disciplines., • A degree in Computer Science, Electrical Engineering or a related field, or equivalent practical experience. Experience with AWS or GCP, Kubernetes, SQL warehouse and batch-processing technologies such as Trino, Presto or Spark, Kafka or other streaming systems, and Go or Python would be useful. Node.js experience is a plus. We value transferable evidence over an exact match to every named technology. Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com. #J-18808-Ljbffr

Huawei R&D UK (Cambridge) is seeking an ambitious Research Engineer to work at the intersection of machine learning and CPU microarchitecture on the Kirin CPU Team. You will use reinforcement learning, LLM agents and learned models to discover and validate improvements for next-generation out-of-order CPU cores, including agentic systems that turn research papers into simulated, measured results. This role suits someone early in their career who is fluent with cycle-accurate simulators and #J-18808-Ljbffr

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialized hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you! • Generate AI/ML ideas, design experiments, implement them and evaluate results., • Prepare, submit and present your work to AI conferences and workshops., • Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports., • Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware. Essential: • Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry)., • Python programming in a modern deep learning framework, e.g. PyTorch or JAX., • Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling., • Capable of designing, executing and reporting from ML experiments., • Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton., • Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling., • Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA #J-18808-Ljbffr

Machine Learning Engineer Location – Cambridge Salary – £60,000-£120,000 Hexwired has partnered with an innovative technology company developing advanced AI and machine learning solutions for complex, real-world applications. They are looking for a Machine Learning Engineer to join a multidisciplinary R&D team in Cambridge working on cutting-edge machine learning projects from concept through to deployment. The Role • Research and develop innovative AI/ML solutions for challenging technical problems., • Design, train and evaluate machine learning models across a variety of applications., • Rapidly prototype, test and optimise new ideas., • Analyse research papers and apply the latest ML techniques., • Design experiments, interpret results and present technical findings. Requirements • Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject., • Commercial or research experience in Machine Learning (industry, PhD, MSc or personal projects)., • Strong Python programming skills., • Experience with one or more ML frameworks such as PyTorch, TensorFlow, Keras or JAX., • Strong analytical, problem-solving and communication skills. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £60k - £120k along with a comprehensive benefits package. If you’re interested in this Machine Learning Engineer job in Cambridge, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today #J-18808-Ljbffr

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do • Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models, • Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale, • Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production, • Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency, • Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly, • Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference, • Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need • Strong proficiency in Python and SQL, with a solid backend or data engineering foundation, • Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider, • Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection, • A solid understanding of the ML lifecycle, from data through to model training, evaluation, and serving, • Experience with data quality practices (validation, cleaning, normalisation) and/or production-grade observability, • Ability to design resilient, scalable architectures, and comfort operating and troubleshooting distributed systems, • MLOps experience, for example model serving, experiment tracking, GPU/distributed training optimisation, or reproducible ML workflows, • A self-starter mentality: comfortable identifying problems and driving fixes without needing detailed direction We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go‑to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting‑edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in‑person interactions can foster. This is only the beginning; we’re looking for amazing people like you to continue our journey… No matter what stage of your career you’re at - from paid internships and first-job opportunities through to management and senior positions - we’ll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that’s not all. We’ve spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech – it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued. #J-18808-Ljbffr

Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning engineering capability required to train, optimiser and deploy large-scale 3D medical-imaging models reliably. We are looking for a Machine Learning Engineer to focus on the development, training, optimisation and inference of state-of-the-art computer vision models applied to volumetric CT data. The role focuses on ensuring that models can be trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. • Develop robust, scalable and reproducible inference pipelines, • Deploy models into production using ONNX, TensorRT or similar frameworks, • Build and optimise scalable machine learning training workflows, • Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training, • Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components, • Support cloud-based ML infrastructure such as MLFlow, • Create and maintain CI pipelines for model training, testing and deployment workflows, • Collaborate with DevOps and infrastructure teams on deployment patterns and infrastructure as code, • Improve reproducibility, traceability and quality across ML engineering workflows, • Identify risks, communicate trade-offs and proactively improve tooling and processes, • Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases, • Experience building, optimising and maintaining ML training and inference pipelines, • Experience with Docker and containerised ML workflows, • Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools, • Experience with GPU-based training, model serving and compute optimisation, • Experience building and maintaining CI pipelines, • Experience with cloud environments, • Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty, • Experience with modern development workflows, including pull requests, code review, documentation and ticketing, • Strong communication skills and ability to work across ML Science, DevOps, Data Engineering and Software Engineering teams, • Experience working with 3D medical imaging, CT data, DICOM, NIfTI or NRRD formats, • Experience deploying models in regulated, clinical, pharmaceutical or healthcare environments, • Experience with infrastructure as code, such as Terraform, • Experience with multi‑stage Docker containers and secure software supply‑chain practices, • Experience with distributed training, large-scale data loading or high‑performance computing environments, • Experience supporting research‑to‑production ML workflows, • Experience with monitoring, observability, model versioning or MLflow‑like tooling, • A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme, • 25 days annual leave, plus bank holidays and enhanced maternity leave, • A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you. #J-18808-Ljbffr

Teamwork makes the stream work.Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What does the team work on? This team spends most of its time working on customer focused features that improve the user experience, from content discovery and search to Roku pay and subscription to embedded software and firmware, and much more. Our product roadmap helps us accelerate our growth and scale, putting surprising new features into the hands of tens of millions of Roku users worldwide. Our developers and engineers are owners. They are motivated from within, finding and taking on a feature or project simply because that problem needs to be solved and shipped. But that individual must work together with different engineering teams, UI design, product teams, and business leadership to make things happen, which means that engineers succeed here because they can maintain that independent spirit and motivation within a deeply collaborative environment. We are the pragmatic dreamers inventing and re-inventing the world of streaming media. What is the role? As a Senior Software Engineer on the OS UI/SDK team, you will design, develop, and deliver engaging platform features — including screensavers, static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where you will create proof-of-concept prototypes in a startup-minded environment and then adapt those prototypes for production-grade deployment. You will collaborate closely with cross-functional partners in UI/UX design, product management, backend engineering, and business leadership to translate ideas into impactful solutions. You will investigate, diagnose, and resolve technical issues to maintain high-quality, commercially viable products. This is an opportunity to shape the future of streaming entertainment through innovation and a deep commitment to engineering excellence. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What are the responsibilities of the role? • Design and develop features for new experiences on the Roku platform, including screensavers, wallpapers, trivia, and featured experiences, • Build proof-of-concept prototypes to validate ideas rapidly, working with a startup mindset to iterate quickly and deliver solutions, • Collaborate with UI/UX design, backend engineering, and product management teams to create and implement new user experiences, • Adapt proof-of-concept solutions into production-ready, scalable implementations, • Leverage AI, machine learning, and large language model technologies to develop innovative platform features, • Investigate, diagnose, and resolve technical issues to maintain commercially viable solutionsContribute to API design decisions, understanding considerations and trade-offs, • Work across cloud development, content management, and UI development to deliver end-to-end feature solutions What experience would help someone be successful in this role at Roku? • Extensive experience in a software engineering environment, • Demonstrated project work using AI/ML and LLM technologies, • Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies, • Experience working in an embedded environment, • Experience in productionising solutions, including content management, UI development, cloud development, and cloud backend integration, • Knowledge of core OS concepts such as memory management and multi-threading, • Experience in API design, with an understanding of considerations and trade-offs, • Strong communication skills, with the ability to collaborate effectively across teams, • Consumer electronics experience in media, content, or ad product development is a plus, • Bachelor's or Master's degree in Computer Science or a related field What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com. #J-18808-Ljbffr

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry. Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. • Geoscience - geology, geophysics, or petrophysics, • Drilling engineering and well planning, • Reservoir engineering and modeling, • Production engineering and optimization, • E&P data management and integration, • Cloud and platform infrastructure, data services, and developer tooling, • AI-assisted analytics, search, and generative AI, • Languages such as Java, C#, F#, C++, Python, and TypeScript, • Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit,, • Angular, React, and Node.js, • Cloud platforms including Azure and AWS, • Containerization and orchestration tooling such as Docker and Kubernetes, • Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux, • Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB, • Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it, • Break complex specifications into concrete tasks with realistic schedules and flag risks early, • Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process, • Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place, • Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise, • Review code from other engineers with the same rigor you expect on your own work, • Evaluate and integrate open-source tools and libraries where they improve the systems you work on, • Mentor junior engineers through code reviews, pairing, and direct technical guidance, • Communicate clearly across a distributed, cross-timezone team, • Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience, • 5-10 years of software development experience, • Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js), • Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery, • Experience debugging production software and tracing root causes that span multiple components or layers, • Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. We offer competitive compensation, a strong career path, and a role where you own what you build, and your impact is visible. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Software Engineer to Senior Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Requisition Number: 209992 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position: Compensation is competitive and commensurate with experience. #J-18808-Ljbffr

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification, • Training in Python, Machine Learning, and AI systems, • Hands-on projects using real-world AI tools and technologies, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support, • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000, • Machine Learning Engineer: £60,000 – £75,000, • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning engineering capability required to train, optimise and deploy large-scale 3D medical-imaging models reliably. We are looking for a Machine Learning Engineer to focus on the development, training, optimisation and inference of state-of-the-art computer vision models applied to volumetric CT data. The role focuses on ensuring that models can be trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. • Develop robust, scalable and reproducible inference pipelines., • Deploy models into production using ONNX, TensorRT or similar frameworks., • Build and optimise scalable machine learning training workflows., • Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training., • Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components., • Support cloud-based ML infrastructure such as MLFlow., • Create and maintain CI pipelines for model training, testing and deployment workflows., • Collaborate with DevOps and infrastructure teams on deployment patterns and infrastructure as code., • Improve reproducibility, traceability and quality across ML engineering workflows., • Identify risks, communicate trade-offs and proactively improve tooling and processes., • Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases., • Experience building, optimising and maintaining ML training and inference pipelines., • Experience with Docker and containerised ML workflows., • Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools., • Experience with GPU-based training, model serving and compute optimisation., • Experience building and maintaining CI pipelines., • Experience with cloud environments., • Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty., • Experience with modern development workflows, including pull requests, code review, documentation and ticketing., • Strong communication skills and ability to work across ML Science, DevOps, Data Engineering and Software Engineering teams., • Experience working with 3D medical imaging, CT data, DICOM, NIfTI or NRRD formats., • Experience deploying models in regulated, clinical, pharmaceutical or healthcare environments., • Experience with infrastructure as code, such as Terraform., • Experience with multi-stage Docker containers and secure software supply-chain practices., • Experience with distributed training, large-scale data loading or high-performance computing environments., • Experience supporting research-to-production ML workflows., • Experience with monitoring, observability, model versioning or MLflow-like tooling., • A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme, • 25 days annual leave,plus bank holidays and enhanced maternity leave, • A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you. #J-18808-Ljbffr

Neural Concept in Cambridge or Lausanne is seeking an AI Workflows Engineer to own the design and delivery of Python-first, AI-powered engineering workflows for a specific industry. You will collaborate with the Vertical Solutions Product Manager and customers to define roadmaps that integrate design, simulation and machine learning. As the primary developer, you will partner with CAD/CAE specialists to implement, maintain and evolve these solutions; identify reusable components for the Neural #J-18808-Ljbffr

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long‑term investment, we are delivering key technology into the fast‑growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large‑scale systems where performance is critical to the success of our projects. Working closely with the Software Development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Applied AI team’s role is to be proxies for our customers; we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you’re excited about advancing the next generation of AI models on cutting‑edge hardware, we’d love to hear from you! • Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators., • Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews., • Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency., • Design and conduct experiments on novel AI methods, implement them and evaluate results., • Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware., • Engage with the AI community and keep in touch with the latest developments in AI., • Bachelor/Master’s/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field., • Proficiency in deep learning frameworks like PyTorch/JAX., • Strong Python or C++ software development skills., • Expertise in deep learning from model training to optimisation and evaluation., • Capable of designing, executing and reporting from ML experiments., • Developed deep understanding of performance bottlenecks and how to overcome them., • Ability to move quickly in a dynamic environment., • Enjoy cross‑functional work collaborating with other teams., • Strong communicator – able to explain complex technical concepts to different audiences., • Experience in one or more of:, • MLOps for Kubernetes‑based clusters, • Building production systems with large language models, • Efficient computing based on low‑precision arithmetic., • Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models., • Experience in distributed training or inference of ML models across 64+ accelerators., • Familiarity with HPC systems and networking including Infini. #J-18808-Ljbffr