251 to 275 of 1,480 Machine Learning Jobs in the UK excluding London

agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team … compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership ...

agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team … compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership ...

agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team … compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership ...

looking to make a difference in silicon. What they’re looking for: First degree in relevant STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex scientific/engineering datasets Solid software … engineering fundamentals — testing, CI/CD, clean APIs End‐to‐end ML system ownership from data ingestion to model deployment Clear communication — writing specs, documenting APIs, presenting to customers Familiarity with circuit simulation or EDA tools (nice to have) C++/CUDA experience for performance‐critical components (nice to have ...

PEOPLE in Cambridge is looking for a Machine Learning Research Engineer specializing in NLP and LLM. The role involves researching new concepts for cutting-edge machine-learning software while working alongside a small team. Ideal candidates will have a Ph.D. or relevant degree, expertise in machine learning, and proficiency in Python. This opportunity offers a hybrid work model, competitive salary up to £100,000, and a range of benefits in an inclusive work environment. #J-18808-Ljbffr ...

Image Analysis team in Cambridge.This role is for a scientific and technical leader with expertise in digital pathology, computational image analysis, AI/ML, and tissue-based oncology biomarkers. The successful candidate will develop and support scalable workflows for whole-slide pathology and multiplexed tissue imaging data.The position will expand … Basel.Job DescriptionKey ResponsibilitiesDigital Pathology and Imaging StrategyDevelop and deploy scalable workflows for pathology whole-slide image acquisition, processing, analysis, and interpretationApply AI/ML and quantitative image analysis to address biological, translational, and biomarker questions in human and preclinical samplesProvide expertise in digital pathology, spatial analytics, and AI-enabled biomarker ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets … complex business problems into software-engineered AI solutions- Deploying on cloud platforms like AWS, GCP, Azure- Contributing to open-source projects or AI/ML publicationTravel RequirementsNot SpecifiedJob Posting End DateThe salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range ...

FULL STACK SOFTWARE ENGINEER - AI/ML - SECURITY CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A SC OR MOD DV CLEARED FULL STACK SOFTWARE ENGINEER WITH AN INTEREST IN AI/ML Salary: Up to £90,000 Location: West London Clearance: Active SC or MOD DV Clearance required Employment: Permanent Sector … capabilities across the National Security & Defence sector. They are looking for an all-round Full Stack Software Engineer with an interest in AI/ML to join a highly technical engineering team. This isn't a role where you'll be expected to be a dedicated Machine Learning ...

good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi‐national organisations, policing, and secure government sectors, providing you with the unique opportunity to make … apply your experience to the emerging field of MLOps. A strong foundation in production‐grade software engineering. Ideally, you’ll have worked in AI, ML, or MLOps before. However, we know that experienced leaders in this space are rare, and that’s why we’re open to candidates from ...

engagements across the aviation sector Lead technical discovery sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures … tooling and emerging technologies Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative ...

Data Science team of a large, established financial services business. The company has invested in its data platform and is building a dedicated ML Engineering capability to get more models into production. You'll work on real business problems, using large and varied datasets to develop models that … models. Using techniques such as regression, classification, clustering and forecasting. Writing clean, reusable Python code that can move beyond the research stage. Working with ML Engineers to deploy models into production. Defining how model performance should be measured and monitored. Reviewing existing models and identifying where they should be improved ...

solutions that enable analytics, automation, and AI-driven business outcomes. Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads. Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote … best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Unfortunately we are unable to progress ...

Data Scientist | Financial Services York (2 days per week onsite) Salary Up to £70,000 + 15% Bonus + Benefits Build ML solutions that actually make it into production. We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability . … testing and evaluating machine learning models Applying techniques such as regression, classification, clustering and forecasting Writing clean, maintainable Python code Working alongside ML Engineers to deploy models into production Monitoring model performance and identifying opportunities for improvement Presenting findings to both technical and non-technical audiences Helping establish ...

scale operationsTracking instrumentation, information architecture, and data governance tooling for business-critical analyticsWe collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization.Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. … process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms.Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization.Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection.Ensure ...

Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform … terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly ...

solutions that enable analytics, automation, and AI-driven business outcomes.Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads.Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards.Collaborate with stakeholders and technical teams to promote best practices … Python, data modelling, and AI development.Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions.Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices.Skills we would love you to have Experience working with Snowflake, including ...

Data Scientist London or Leicester (2 days per week) Join a growing Data Science team where you'll build machine learning solutions that directly influence customer engagement, retention, and commercial performance. This is a highly visible role with significant stakeholder exposure and the opportunity to work on both … deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

data, and innovation testbeds. Your role will involve analysing and visualising data; developing analytical models and prototypes; supporting the application of artificial intelligence and machine learning techniques; and communicating findings to both technical and non-technical audiences through reports and presentations. You will work as part of multidisciplinary … teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities Proven experience in applying data science in an industry ...

with leading organisations worldwide to support strategic decision-making in complex and evolving markets. Description Design, develop and deploy production-grade data science and machine learning solutions. Own the full delivery lifecycle from concept, data acquisition and modelling through to deployment and operational support. Build robust, scalable … technical stakeholders. Support ongoing enhancement of production systems, ensuring governance, reproducibility and operational resilience. Profile Minimum 7 years' commercial experience in Data Science, Machine Learning or Quantitative Development. Strong Python development skills with experience building production-ready applications. Proven experience delivering analytical solutions into live production environments. Strong ...

drive innovation, and ensure our systems remain reliable and future-ready.Job Responsibilities:Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems.Write secure, high-quality code in Java, applying best practices for AI and data engineering.Develop … Agentic AI applications.Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals.Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks.Required Qualifications, Capabilities, and Skills:Formal training or certification in software engineering concepts and recent applied experience in software development.Deep expertise ...

will bring advanced engineering expertise to a collaborative, high-performing team focused on building scalable, cloud-native applications that leverage artificial intelligence and machine learning to drive smarter risk decisions. Your work will directly support the firm's ability to assess, monitor, and manage credit risk across wholesale … wholesale credit risk workflowsLead the design and implementation of cloud-native solutions, ensuring high availability, performance, and security across distributed systemsIntegrate artificial intelligence and machine learning capabilities into risk technology platforms to enhance analytical and predictive functionsDrive end-to-end software development lifecycle activities, including design, development, testing ...

Start The Company They are an early-stage AI organisation focused on developing advanced data products for a complex global industry. Their work combines machine learning, data modelling, and modern AI techniques to generate meaningful insights from rich, real-world datasets. With a strong technical culture and deep … such as extraction, constrained labelling, and code generation, supported by clear evaluation processes. Collaborate with domain experts to translate complex business challenges into practical machine learning solutions. Your Skills & Experience Strong experience building and deploying machine learning models in production environments where accuracy and reliability ...

innovation, and ensure our systems remain reliable and future‐ready. Job Responsibilities Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems. Write secure, high‐quality code in Java, applying best practices for AI and data engineering. … applications. Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals. Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts and recent applied experience in software development. Deep expertise ...

team but also working together with other teams, including teams making low-level libraries that the frameworks use and teams that are developing ML applications on top of the frameworks. The Team The frameworks team is responsible for ensuring Graphcore hardware enjoys seamless support in user-facing machine learning … Profile Essential Experience of developing performant C++ applications in a commercial setting. Experience of Python development. Desirable Experience using and/or development of ML Frameworks such as PyTorch. Demonstrable knowledge of AI/ML. Experience in a computationally intensive engineering field. Understanding of and/or experience with compiler ...

responsible data use Work collaboratively with Technical Engineers, Product Owners, and Solution Architects Requirements A minimum 3 years in data science, analytics, Agentic AI, machine learning or modelling is essential Proficiency in data analysis, customer analytics, building and validating models for forecasting, pricing, and segmentation and visualisation tools … e.g. Agentic AI, Machine Learning, Python, SQL, SAS, Power BI, Tableau) Experience with cloud-based data platforms (e.g. GCP native tools) Unafraid to challenge the status quo, have an intellectually curious outlook, where you seek to innovate and adapt quickly from setbacks. Apply product led thinking to reporting ...