926 to 950 of 4,924 Machine Learning Jobs in England

productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience … ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ...

evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal‐level technical leadership. Hands‐on experience … building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs End‐to‐end exposure in model lifecycle development, including extensive experience training ...

develop a comprehensive open source side effect resource for the scientific and pharmaceutical community, and provide structured and standardised training sets for AI/ML applications to improve early identification of safety liabilities. You will harness modern machine learning techniques to extract data from a range of relevant … drug discovery based on the extraction of side effect data from a range of documents. Your role will focus on developing and implementing machine learning and data processing pipelines for the extraction of safety data. The position provides a real opportunity to make a significant impact ...

time Own the technical implementation pattern (RAG pipeline design, prompt/agent orchestration, model integration via APIs) and work directly with data science/ML engineering teams during build. Sit in sprint planning, backlog refinement, and architecture sync ceremonies to ensure designs are buildable within sprint capacity and technical debt … learning concepts. Proven experience as a Solution Architect or similar role in Commercial domain. Practical experience with at least one AI/ML implementation pattern in production Proficiency in software development methodologies, architectural patterns, and best practices. Excellent analytical and problem-solving skills with the ability to lead ...

learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience with hyperparameter tuning at scale and experimentation frameworks Strong technical experience ...

event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation … skills; you’re comfortable influencing technical direction and aligning diverse stakeholders across the organization. Bonus points: Experience with machine learning infrastructure or ML Ops practices. Familiarity with event-driven architectures in a mobile-first product environment. Prior work in fashion, marketplaces, or sustainability-driven tech. Additional Information Health ...

lead the development, administration, and strategic evolution of the groups high‐performance computing (HPC) infrastructure supporting cutting‐edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large‐scale HPC systems, including … other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high‐performance file systems such as BeeGFS or Lustre For informal enquiries, please contact ...

lead the development, administration, and strategic evolution of the groups high-performance computing (HPC) infrastructure supporting cutting-edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large-scale HPC systems, including … other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high-performance file systems such as BeeGFS or Lustre For informal enquiries, please contact ...

strong background in computational plasma modeling, covering areas such as plasma chemistry, sheath dynamics, ion energy distribution, and plasma-surface interactions. Awareness of machine learning in physics-based simulation workflows is a plus. You are independent, adaptable, and experienced, able to engage rapidly with semiconductor customer teams … each problem (e.g. COMSOL, HPEM, VizGlow, CFD‐ACE+), and validating outputs against experimental or industrial process data. Collaborating closely with PhysicsX Data Scientists and ML Engineers to integrate your simulation work into AI‐powered workflows. Operating independently on open‐ended, highly specialised problems—scoping, executing, and delivering with minimal oversight. ...

design to pipeline development, Looker delivery, and enablement; Support existing products and deliver new products for Business Partnering and Finance; Design, build, and deploy ML models and AI-powered data products; Identify high-value use cases from the People Analytics AI roadmap and deliver production-grade solutions; Conduct advanced analyses … data into clear, actionable insights for non-technical audiences; Collaborative, enablement-focused mindset with a focus on self-service; Nice to have: Experience with machine learning or statistical modelling in a production context, exposure to AI product development, LLM tooling, or data applications, experience with data quality frameworks ...

vivo relationships. Communicate modelling outcomes through technical reports, presentations, regulatory documents, and scientific publications. Contribute to innovations in modelling methodologies, automation, and AI/ML-driven predictive approaches. Required Qualifications; PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or a related discipline. Demonstrated expertise in PBPK, PBBM … PBBM analyses. Experience with virtual bioequivalence and clinically relevant dissolution specifications. Programming experience with Python, R, MATLAB, or similar scientific tools. Knowledge of machine learning and data science applications in pharmaceutical development. Experience across a range of drug modalities, including poorly soluble compounds, enabling formulations, peptides, or complex ...

ready deployments within Azure environments. Collaborate with analysts and business teams to translate analytical insights into practical outcomes. Evaluate new techniques in AI and machine learning, driving Movar's capability forward through experimentation and continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. … applied machine learning. Strong understanding of Generative AI, LLMs, and RAG principles. Experience with data mapping, feature engineering, and end‐to‐end ML lifecycle management. Proficiency across Microsoft's Azure AI and data ecosystem, with an eagerness to adopt Fabric and other emerging technologies. A curious, pragmatic approach that ...

through technical reports, project team meetings, regulatory submissions, and scientific publications. Drive innovation in modelling methodologies, automation, and data-driven approaches, including AI/ML-enabled predictive tools. Required Experience & Qualifications PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or a related scientific discipline. Strong expertise … PBBM analyses. Knowledge of virtual bioequivalence studies and clinically relevant dissolution specifications. Programming experience with Python, R, MATLAB, or similar scientific tools. Exposure to machine learning and data science applications within pharmaceutical development. Experience across diverse drug modalities, including poorly soluble compounds, peptides, enabling formulations, or complex dosage ...

external custodians and brokers to test account readiness ahead of new activity going live. You will gain exposure to new Intelligent Automation tools and ML/AI experts while developing your skills and supporting senior decision makers. Job Responsibilities Assist in designing, developing, and maintaining processing, analytics, visualization, and reporting … data quality, consistency, and accessibility. Collaborate with cross-functional teams, including technology and operations to deliver process efficiencies. Contribute to a culture of continuous learning and excellence by sharing knowledge and best practices. Monitor key data metrics and assist in preparing reports and recommendations for ongoing improvement. Adhere ...

deliver compelling commercial proposals aligned with client needs. Solution Design: Contribute to solution design from both a technological perspective and an algorithmic/machine learning perspective , ensuring feasibility and innovation. AI Value Proposition: Play a key role not only in communicating SDG’s AI value proposition but also … similar technical field. Professional Experience: Minimum 5 years of experience in AI, Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge ...

experience is greater than 2 years. Must Have Databricks Certification (active/current): two of: Databricks Certified Data Engineer Associate/Professional Databricks Certified Machine Learning Associate/Professional Databricks Certified Generative AI Engineer … Associate) Medallion Architecture design ownership: Proven ability to design Bronze/Silver/Gold layers, data contracts, data lifecycle, and serving patterns (BI, APIs, ML features). Unity Catalog architecture experience: Governance model design (catalog strategy, grants), lineage, and secure access patterns. Declarative Pipelines with Expectations (DLT): Architectural understanding plus ...

Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands-on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep … data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting-edge technologies. Preferred Qualifications Salesforce Expertise - Hands-on experience with Salesforce Agentforce ...

model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute … Physicalised data models and data products build Contribute to client proposals, RFP responses, and thought leadership related to enterprise data modelling and AI/ML readiness. Skills and attributes for success We’re looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes ...

applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval … retrieval augmented generation, orchestration frameworks, and agentic workflows Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practices Own budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. … governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry. Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk, Policy Administration ...

Role overview The Senior Data Scientist will lead the development of advanced analytical and machine learning solutions, guiding others in data science methods and ensuring outputs are robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking.You will work with multidisciplinary teams across … users. Key responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers ...

Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … Financial & Legal Domain Knowledge : Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts. Production ML Engineering : Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows. Strong proficiency in Python for production ...

large AI models, reinforcement learning, synthetic data and multi-agent systems. You'll combine hands‐on engineering with research, building and experimenting with ML systems, developing robust research infrastructure and working alongside researchers on complex, rapidly evolving problems. Non negotiable skills: 2+ years' hands-on Machine Learning/AI experience - including ML, artificial intelligence, recommendation systems or pattern recognition. Strong Python programming skills Experience developing ML models at scale Experience running complex experiments with large AI models and datasets. Strong understanding of the scientific/research process and the ability to investigate why approaches succeed ...