151 to 175 of 1,381 Machine Learning Jobs

Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world … subscription products or growth analytics Exposure to experimentation/A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenue If you would like to be considered for the role and feel you would ...

real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data … Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world ...

prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving … mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/ ...

London Office.Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Deep Expertise in Machine Learning, Data Science & Technical Tooling Strategic Project Leadership & Business Impact Delivery High Level Stakeholder Engagement & Communication What this role is all about: Vitality … ensuring all models meet safety, regulatory and ethical requirements Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems What do you need to thrive? Undergraduate degree in statistical subject Considerable ...

Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Deep Expertise in Machine Learning, Data Science & Technical Tooling Strategic Project Leadership & Business Impact Delivery High Level Stakeholder Engagement & Communication What this role is all about: Vitality … ensuring all models meet safety, regulatory and ethical requirements Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems What do you need to thrive? Undergraduate degree in statistical subject Considerable ...

Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Deep Expertise in Machine Learning, Data Science & Technical Tooling Strategic Project Leadership & Business Impact Delivery High Level Stakeholder Engagement & Communication What this role is all about: Vitality … ensuring all models meet safety, regulatory and ethical requirements Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems What do you need to thrive? Undergraduate degree in statistical subject Considerable ...

focusing on what clients really need and delivering against that every single day. Key Responsibilities Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows. Collaborate with cross-functional teams to integrate AI technologies with other system components. Ensure … Qualifications Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models ...

your family again! Design reusable assets, solutions, and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

Software Engineer AI and Data, Permanent West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting … team looking to scale their AI development capability. I seek a creative Software Engineer with a passion for AI and Machine Learning who has is a team player, and has the attitude to grow as a developer to support this client on their AI journey. Working ...

Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role … architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model explanations. Build and maintain training, processing, and inference ...

governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital … engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines … with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines ...

silicon utilization. Responsibilities Investigate future graphics and AI workloads to inform long-term architectural direction. Develop compute architectures that integrate graphics processing capabilities with machine learning acceleration. Evaluate approaches for combining dedicated hardware accelerators with shared programmable compute resources. Design execution units capable of supporting mixed workloads, including … design teams. Contribute to overall system architecture decisions involving power budgets, thermal limits, and physical layout. Ensure hardware architecture aligns with evolving graphics APIs, machine learning frameworks, and runtime environments . Support modelling, benchmarking, and performance analysis across development stages. Required Experience 15+ years of experience ...

Senior ML Engineer: Up to 115k Xcede are currently working with one of Europe’s most respected applied AI companies. They work closely with governments and major organisations to solve complex, high-impact problems using machine learning and data science. Something particularly impressive is their reputation … tech unicorn, valued at over £1bn, and their position as a market leader in safe, real-world AI. Currently, they are looking to hire ML Engineers for their Senior position in their Financial unit. The ideal candidate will be someone who has worked as a ML Engineer with LLMs through ...

month in office), £90,000 - £120,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based … Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering ...

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

machine learning models used across financial data, risk, and automation use cases. You’ll work alongside engineers and product teams to deploy ML solutions into production. Key Responsibilities Develop and deploy ML models Work with structured financial datasets Collaborate with engineering teams Improve model performance and monitoring Support … production ML pipelines Required Experience Machine learning engineering experience Python and ML frameworks Experience deploying models to production Financial services or data-heavy background Cloud ML tooling exposure Nice to Have NLP or time-series modelling MLOps experience Risk or fraud use cases Why Join Applied ML ...

Role: AI/ML Computational Science Senior ManagerLocation: LondonSalary: Competitive salary and package dependent on experienceCareer Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. … Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine ...

Large Language Models and are now building agentic AI workflows that can autonomously answer complex research questions. They're looking for a Staff ML Engineer to help scale their NLP and search capabilities . What you'll be doing • Improving search quality (precision & recall) across large datasets • Designing LLM-powered … workflows and agentic systems • Building ML models and NLP pipelines for production use • Working with large-scale search infrastructure (Elasticsearch/OpenSearch) • Collaborating with engineers and data scientists to evolve the ML platform This is a hands-on engineering role with significant impact on the product and ML direction. What ...

Pandas, SciPy, scikit-learn) Document problem statements clearly and provide verified correct answers What we look for This opportunity is a great fit for ML specialists with Python experience who are open to part-time, non-permanent projects. Ideally, you will have: 5+ years of hands-on machine learning …/or publications showcasing real-world problem-solving Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Deep understanding of ML algorithms, methods, and their practical applications Expert-level SQL and database operations for data manipulation and analysis Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines ...

Machine Learning Engineer Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine … Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment click apply for full job details ...

Staff Machine Learning Engineer – AI/ML Information Extraction Remote (Or Hybrid If London based – 2 days) Company Overview My client is a fast-growing, product-led technology business operating within a specialist professional services sector. They provide a SaaS platform used by organisations globally to improve business … with a strong focus on innovation, AI, and scalable product development. The Role My client is looking for a Staff Software Engineer – AI/ML with expertise in Information Extraction to play a key role in advancing their AI capability. This is a hands-on technical leadership role, focused ...