curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various programmes and opportunities within EIT through the … disparate technical and domain expertise to a single purpose/vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define … and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment with the programme mission Act as a link between technical team (e.g., data scientists, data engineers More ❯
to make a real mark. Required Background Strong background in financial services, consumer lending, or fintech. Expert in credit, fraud and pricing modelling. Advanced skills in Python, SQL, and ML frameworks. Proven ability to design, deploy, and monitor models in production. Leadership experience - mentoring or managing data science teams. Confidence in regulated environments: model governance, monitoring. Excellent communicator who can … influence senior stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends. More ❯
regulatory standards through robust assurance frameworks and risk assessments. Key Responsibilities: Develop and implement AI risk management and assurance frameworks Conduct technical evaluations and TEVV activities for AI/ML solutions Advise on model explainability, bias detection, robustness, and resilience testing Guide project teams and suppliers in embedding assurance into AI/ML Ops lifecycle Act as a trusted advisor … AI safety frameworks Hands-on experience with AI tools and operational pipelines Knowledge of regulatory and ethical requirements in Defence or other high-stakes industries Experience integrating assurance into ML Ops pipelines Degree or equivalent in AI/ML, data science, or related field Proven client-side leadership in regulated environments Desirable: Familiarity with generative AI safety challenges Publications or More ❯
events Expertise in one or more of the following: Manufacturing processes deployable by robots (laser cleaning, cutting, additive manufacturing, surface preparation, inspection) Radiation hardening technologies/Radiation tolerant electronics ML/AI/Digital Infrastructure Mechanical systems, sensing/non-destructive testing, actuation mechanisms Dynamic modelling and systems identification Control theory Intelligent control for manipulation or position control Qualifications Required … equivalent experience. For candidates with a software background - experience in ROS, experience with Unreal Engine, experience in the design of human-machine interfaces, experience in applied AI or ML for operations Experience of on-site deployments or demonstrations of research Experience of supporting collaborative research activities Experience of supervising and mentoring others in a research project context Experience of More ❯
Abingdon, Oxfordshire, Clifton Hampden, United Kingdom
Rullion Managed Services
events Expertise in one or more of the following: * Manufacturing processes deployable by robots (laser cleaning, cutting, additive manufacturing, surface preparation, inspection) * Radiation hardening technologies/Radiation tolerant electronics * ML/AI/Digital Infrastructure * Mechanical systems, sensing/non-destructive testing, actuation mechanisms * Dynamic modelling and systems identification * Control theory * Intelligent control for manipulation or position control Qualifications Required … equivalent experience. * For candidates with a software background - experience in ROS, experience with Unreal Engine, experience in the design of human-machine interfaces, experience in applied AI or ML for operations * Experience of on-site deployments or demonstrations of research * Experience of supporting collaborative research activities * Experience of supervising and mentoring others in a research project context * Experience of More ❯
Owning and maintaining software modules and operational tools. Mentoring junior engineers and shaping best practices. Working across embedded, automation, and cloud-based infrastructure (AWS). Collaborating on AI/ML projects and data-driven improvements. Required Experience: Strong background in Python (with some C++). Experience in embedded systems and automation/control mechanisms. Track record of leading or mentoring … software engineers. Exposure to AWS and AI/ML frameworks (PyTorch, TensorFlow, OpenCV) is a big plus. Flexible, solutions-focused mindset – comfortable in a start-up environment. Nice-to-haves: Microcontrollers (Raspberry Pi, Okdo, Tinker Edge R). Robotics, servo/stepper motors or automated machinery experience. Mobile app development (Android/iOS). If you feel you could be More ❯
to find new medicines.We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent … on “data mechanics”. Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent. Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time. Automation of end-to-end data flows: Faster and reliable More ❯
Engineer to join our Automation Team and build intelligent systems that power the future. You'll design automation solutions, develop full-stack applications, and lead cutting-edge AI/ML initiatives. What You'll Do Build automation and AI/ML systems (Agentic, RAG, MCP). Develop front-end (React, JS) and back-end (Python, Postgres, APIs). Drive code … systems/automation; 5+ years in technical leadership. Strong React, JavaScript, and Postgres skills. Hands-on with Selenium, iOS automation, and full project lifecycle testing. Experience in AI/ML pipelines, multi-agent systems, and data workflows. Solid DevOps background (Jenkins, CI/CD, monitoring). Handle actively welcomes applicants from under-represented backgrounds - we pride ourselves on attracting the More ❯
We're looking for a software engineer to help build and optimize the infrastructure behind large-scale AI model training and deployment. This role involves working across the full ML lifecycle - from data processing and training pipelines to efficient inference in production environments. What You'll Do: Develop scalable, distributed training and evaluation pipelines Optimize model performance and system efficiency … across different compute environments Collaborate with ML teams to integrate models into production systems Build tooling for deployment, monitoring, and continuous improvement of AI models What We're Looking For: Strong programming skills (Python, C++, or similar) Experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX) Familiarity with cloud infrastructure and distributed systems Solid understanding of performance optimization and system design More ❯
to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. … We’re backed by top tier US and European VCs and angels including co-founder of Wayve.ai, ex-VP of Twitter, ex-CTO of CoinBase Requirements & Experience PhD in ML or related field, with publications in top conferences. 1+ yrs of experience in training LLM/diffusion/flow-matching on 1B+ param models OR training SOTA speech models. Experience More ❯
processes Develop and implement frameworks for human oversight, trust, accountability, and explainability Conduct ethical risk assessments covering fairness, bias, autonomy, and proportionality of AI decision-making Advise on human–machine interaction, including usability, operator trust, and training requirements Contribute to TEV&V activities with a focus on safety, resilience, and ethical compliance Guide stakeholders on adherence to ethical principles … leadership on responsible AI practices to project teams Required Expertise: Proven experience in responsible AI, human factors, or ethics in technology Track record embedding ethical frameworks into AI/ML assurance processes Strong understanding of bias, fairness, and explainability challenges in AI Applied expertise in human factors, behavioural science, or ergonomics related to technology adoption Ability to bridge technical assurance … centred design, and regulatory compliance Desirable Experience: Experience in Defence, Aerospace, or national security environments Familiarity with MOD or Defence ethical guidance for AI Background in user research, human–machine teaming, or safety-critical systems Why This Role: This is a rare opportunity to influence how AI interacts with humans and society in high-stakes environments. Join a programme More ❯
