901 to 925 of 3,268 Machine Learning Jobs in the UK

high-performing teams in a dynamic environment* (Desirable) Understanding of content management systems and best practices, with a preference for Sitecore* (Desirable) Knowledge of machine translation technologies and mechanisms, including integration of AI-driven translation services into enterprise architectures* (Desirable) Experience in development and deployment of generative … machine learning systems, with preference for AWS Bedrock and associated AI services* (Desirable) Experience in API management and API marketplace design* (Desirable) Experience working in a multi-cultural international organisation* Language(s): English (fluent)## Job Description* Provide architectural oversight, ownership, and guidance for the design and implementation ...

that align document understanding capabilities with diverse business needs including next-generation search and deep legal research Mentor and coach team members with varied ML/NLP abilities, building technical capability across the organization About You You're a fit for the role of Lead Applied Scientist if you have … efficiency optimization including knowledge distillation, model compression, and designing SLM-based solutions that balance performance with computational constraints Solid understanding of DL/ML approaches used for NLP tasks Experience designing annotation workflows, creating high-quality labeled datasets with clear guidelines, and developing evaluation frameworks for document understanding tasks ...

evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness. • Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value … single team. Write clear specs, define acceptance criteria, and stay close through delivery. • Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted. • Translate data collection and processing into visualisation ...

fast-paced, high- performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within … engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organisational skills. Strong analytical skills. Sales consulting or management consulting ...

experience. Essential Requirements You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience of previously … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

experience. Essential Requirements You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience of previously … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

just proofs‐of‐concept. Expert‐level proficiency in Python is a must‐have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full‐stack development experience is a distinct advantage. Extensive hands‐on experience with Generative AI concepts, Large Language Models (LLMs … practical experience with containers and orchestration technologies, specifically OpenShift . Demonstrated ability to architect, develop, and deploy highly performant, large‐scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL ...

ideal candidate will help define the right problems to solve, not just execute against a fixed brief. The Applied Scientist role combines data science, ML and statistics to build practical systems that drive real business outcomes. It is not a pure research role, although you may explore papers … waiting to be assigned. You will be comfortable – and ideally enjoy – collaborating with others. What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when ...

infrastructure/CTO teams, prioritizing observability needs from line-of-business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential.This role requires providing technological Support solution for Function called Project Orion which provides End-to-End payment … gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum.* Stay current with observability trends, including AI/ML-driven insights, anomaly detection, and emerging OSS practices, and assess their applicability.* Maintain strong knowledge of observability platform features and vendor offerings to advise teams ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What ...

recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Principal ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within … Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What ...

only company pioneering leadership coaching for large enterprises in an AI-first way.Our mission is to transform how the world\'s biggest companies approach learning and development, helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America.Our clients represent the most diverse and sophisticated enterprise AI implementations globally, includingCoca-Cola, Delta, Nestlé, General Mills, Schneider Electric ...

cutting edge of the field, with current research threads including: System Understanding: Interpretability, steering vectors, and the science of evaluations. Control & Alignment: Goal drift, machine unlearning, and uncertainty calibration. Societal Safeguards: Misinformation mitigation and robust deployment boundaries. We collaborate closely with the the company’s wider AI safety team … labs, or evaluation roles. Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access. Strong foundation in machine learning fundamentals, particularly in robustness, explainability, or uncertainty estimation. Proficiency with deep learning frameworks like PyTorch and the Python skills required ...

Data, Analytics and AI organisation of Arrive. The Data Science Products team ingests billions of complex sensor data points daily to produce advanced machine learning products that help millions of drivers park or charge electric vehicles. For example, we predict the availability of parking in cities across … services with high confidence and zero downtime. Advance Data Capabilities : Lead the hands‐on development of platform enhancements, such as establishing feature stores for machine learning and building automated data monitoring systems to ensure data integrity and model reproducibility. Scale AI Practices : Lead the adoption of AI throughout ...

your teams A track record of understanding, assessing, and embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy … deadlines Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading ...

code workflows, and intelligent document processing solutions. Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. … Receive United Kingdom: Competitive salary, annual bonus, pension scheme, health insurance, 24 days annual leave, flexible working arrangements, employee recognition scheme, and learning and development opportunities. Netherlands: Temporary employment for 1 year with a probation period and flexible working; learning and development opportunities; indefinite employment contract based ...

Platform Engineer London Company Overview Model ML is the AI workflow builder transforming how major financial institutions produce and validate client‐ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become … timelines will change, priorities will most likely shift. Be prepared to sacrifice your work‐life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging ...

journeys. You will be responsible for defining strategy, prioritising investments, and delivering measurable outcomes across document verification capabilities, working closely with Engineering, AI/ML, Product Design, Operations, and Growth teams. This is an excellent opportunity for someone who wants to help shape the future of digital identity, as identity … Document Verification portfolio. Analyse customer journeys and product performance to identify opportunities to improve verification outcomes. Partner closely with Engineering, AI/ML, Data Science and Design to deliver innovative document verification capabilities. Drive improvements in verification accuracy, customer conversion, operational efficiency and fraud prevention. Work closely with Growth, Customer ...

integrate hybrid/multi‐cloud, AI‐ready compute, and intelligent infrastructure platforms. Develop blueprints for high‐density, GPU‐based workloads and emerging AI/ML infrastructure needs. Ensure alignment of technical solutions with data center space, power, and cooling capacities, incorporating sustainability and energy‐efficiency goals. Compute, Storage & Networking Implementation … such as Dell, HPE, NVIDIA, Cisco, NetApp, and Juniper. Apply deep knowledge of high‐performance computing (HPC) and low‐latency networking to AI/ML solution design. Integrate automation tools (Terraform, Ansible, cloud‐native orchestration) to streamline deployment and management. Data Center Optimization Collaborate with facilities and operations teams ...

looking to build out their current team with multiple hires. They offer a lot of autonomy and excellent progression opportunities with dedicated learning and development time within the role. An ideal candidate will understand real problems, get hands-on where needed, and help customers figure out what’s worth … workshops, running demos, or translating between technical and non-technical stakeholders. Experience Required: A real understanding of AI systems (LLMs and traditional ML), not just surface-level usage The ability to get technical when needed and explain concepts clearly Experience working directly with clients and knowing when to challenge assumptions ...

with a degree in physics, engineering, maths, computer science or a related field. Experience with Python, Django, or PostgreSQL. Familiarity with data analytics or machine learning processes. Experience with complex data architectures, including event-sourced data models. The salary We expect to pay from … culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe ...

simulated and real-world mission environments. Shield AI is growing quickly, and we're looking for someone who thrives in fast-paced environments, embraces learning, and brings a high-ownership, mission-driven mindset. This is a chance to have a real impact - advancing autonomy that protects lives - while working … robotics software, or flight autonomy algorithms. Familiarity with C++ and software/hardware integration concepts. Experience with HIL or VIL test environments. Exposure to machine learning or AI-driven autonomy systems. Background in simulation infrastructure design, distributed testing, or test data management. Quality Assurance (QA) experience, including process ...

operations. Designing and implementing high-performance optimisation algorithms and production-grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi-stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud-based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

world class campus in Ecopark, developed with an investment of up to USD 165 million, offering modern facilities and an international-standard learning environment for more than 10,000 students upon completion. POSITION REQUIREMENTS The position requires a Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related … field, along with substantial university-level teaching experience and a proven ability to engage and inspire students. Candidates must possess expertise in data analysis, machine learning, deep learning, natural language processing, big data, quantitative analysis, and data visualization, as well as proficiency in relevant programming languages ...