326 to 350 of 3,264 Machine Learning Jobs in the UK

trader/sales/management demands in traditional ways but also using techniques in natural language processing (NLP) and machine learning (ML) and artificial intelligence (AI) to maximize our return on the large-scale data sets we curate. What we’ll offer you A healthy, engaged and well … databases as well as analysis and presentation Experience in web development using JavaScript, Python, HTML5 with good analytical and quantitative skills. Experience of machine learning and natural language processing is desirable Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able ...

summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you’ll do Lead the team Manage, coach and develop Penta’s Data Science team … will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large‐scale content processing. You will set its direction, raise its delivery bar, grow its people through hands‐on coaching, and lead from the front ...

rapidly prototyping new ideas, and transforming promising innovations into production‐ready solutions that create measurable business impact. Responsibilities Assess, design, build, optimize and deploy ML/AI models and foundational models for real‐world applications. Continuously research and evaluate emerging AI technologies, models, prototype new AI capabilities, and run proof … high‐impact AI opportunities. Stay at the forefront of advancements in AI, foundation models, and autonomous agents. Qualifications 5+ years of experience in AI, Machine Learning, Data Science, or related fields. Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, and Hugging Face. Experience taking ...

ensuring business value creation and impact. In this position you will play a key part in: Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management Delivering solutions using the latest GenAI … requirements and build out solutions. Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit). You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring). You have advanced proficiency in SQL and Python, with ability ...

marketing campaigns on platforms such as Google, Meta and Apple. In This Role, You Will Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical … Computer Science, Engineering, Data Science, or equivalent experience. 6+ years of product management experience, ideally in marketing platforms, data products, and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross ...

operate at production scale.Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit)You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)You have advanced proficiency in SQL and Python, with ability to write clean ...

analysts worldwide with direct visibility to your contributions • Modern technology stack – Work with Java, Python, React, AWS, Kubernetes, and emerging AI technologies • Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks • Flexible environment – Work from our Manchester office with hybrid flexibility, competitive compensation … cross-functional teams and communicate technical concepts clearly What Would Make You Stand Out: • AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

technical audiences; influence product roadmaps, prioritization, and resourcing via data‐driven analysis, scenario studies, and clear articulation of trade‐offs. Lead development of ML/AI solutions end‐to‐end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. … differentiation). Experience with market risk, time‐series/stress analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands‐on ML/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics ...

knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python … experience with core data science and ML libraries (e.g., scikit‐learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based … decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality ...

science capability that partners with stream-aligned teams. You’ll report into the Data Science Team Manager and lead end‐to‐end DS/ML projects, shape standards, mentor teammates, and ship models into production, balancing quick wins with robust engineering. In particular, we are currently exploring ideas around using … marking consistency in a range of qualifications. Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll do Partner with stakeholders across the business to explore ...

combines exceptional software engineering fundamentals with hands-on experience delivering enterprise-scale Generative AI solutions into production. Whether your background is software engineering, machine learning, platform engineering or forward deployed engineering, we're interested in hearing from you. Alternative Job Titles We recognise great people often have different … titles. You may currently be working as: AI Technical Lead Staff Software Engineer Staff AI Engineer Staff Machine Learning Engineer Senior Staff Engineer Principal Software Engineer Principal AI Engineer Principal Machine Learning Engineer Lead AI Engineer Lead Software Engineer Engineering Manager AI Engineering Manager Machine ...

This is a hybrid‐based role. Responsibilities: Design, develop, and implement AI solutions using Microsoft AI technologies, including Azure OpenAI, LLMs/SLMs, Azure Machine Learning, Azure Foundry, Cognitive Services, and Azure AI Document Intelligence Work closely with clients to understand architecture and integration needs, leading alignment … with a Master’s degree in a relevant field; a PhD in AI or a related discipline would be advantageous Proven experience in AI, Machine Learning, Generative AI, or Data Science, with expertise in Microsoft AI technologies Hands‐on experience with Azure OpenAI, LLMs, Azure Machine Learning ...

firms across personal injury and clinical negligence. Fletchers is one of the UK’s largest and fastest-growing consumer law firms. We began using machine learning in real legal work back in 2017 and then went on to build what we think was the first dedicated AI team … Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process. Build and maintain relationships with clients ...

staff. 5. Lead and deliver FSSRs Data & AI strategy as part of the broader DGFS agenda Role Requirements Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud-based technologies and solutions (Azure and Databricks … generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy. Experience delivering business change and production-ready pipelines through new data ...

building scalable, efficient software solutions Innovative approach to solving complex technical challenges Strong sense of initiative and product ownership Experience with AI and machine learning integration preferred What’s in it for you Cutting-Edge Technology: Work with the latest web and cloud technologies Inclusive Work Culture: Collaborative … emphasizing mutual respect Flexible Working Hours: Arrangements that prioritize productivity and work-life balance Real-World Impact: Develop software that drives technological innovation Continuous Learning: Opportunities for professional development in technical and soft skills Iprova Culture Iprova is a mix of people and backgrounds, from very bright machine ...

cost efficiency Establish engineering best practices through hands‐on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof‐of‐concept ...

cost efficiency • Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence • Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement • Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions • Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity • Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

analytics products, with a focus on Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence. Own the product roadmap for analytics, AI and Machine Learning aligning with the Head of Product and peers in Finance, HR, Logistics, Operations and Commercial teams. Manage and mentor a small team … accessible to non-technical audiences. Ability to coach and develop junior team members. Strategic thinking and a continuous improvement mindset. Experience of delivering Oracle Machine Learning, AI and business analytics solutions. 5. Qualifications Degree in Computer Science, Data Science, Information Systems, or equivalent experience. Familiarity of tools such ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands‐on engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading ...