201 to 225 of 4,078 Machine Learning Jobs in the UK

for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to … offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of … insights to both technical and non-technical audiences, including through presentations and written reports. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep More ❯

We are seeking a talented Machine Learning (ML) Scientist to join a groundbreaking initiative to develop Digital Twins for rare diseases. You will work within a multidisciplinary project team, across the Open Targets, Molecular Systems and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). … the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. The role involves designing and implementing ML models that integrate multi-omics data and clinically relevant endpoints, contributing to the creation of virtual patient models to simulate disease trajectories and therapeutic responses. … This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and new treatment development. Your role The ML Modeller's primary tasks include developing and applying advanced ML and GenAI frameworks to integrate More ❯

Lead ML Engineer London - Hybrid (1 day per week in office) £80,000 - £100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast … The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high … libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of software engineering best practices. Experience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes. Expertise in Linux/Windows VM administration. Reference Number: BBBH248582 To apply for this role or to More ❯

Principal Machine Learning Engineer Paying between £100,000-£140,000 Hybrid in Central London La Fosse is partnered with a leading insurance company who are looking for an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible impact on profitability, sales, customer experience, and operational efficiency. What You'll … business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the Property & Casualty (P&C) insurance industry is a plus. Relevant experience in the insurance More ❯

Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to … LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You … diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers, and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a More ❯

in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join our ML team. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art … of computer vision and solve multifaceted algorithmic problems. You will: Experiment with and adapt latest ML technologies to fit into existing tech stack Solve idiosyncratic statistical, geometric, and engineering problems Work closely with a full stack tech team to assist implementation of research solutions into the product Contribute to hiring … will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic More ❯

Sr. Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: AWS ProServe IN - Maharashtra The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth … , Deep learning and Generative AI solutions, from conception to deployment - Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts - Experience in data modeling, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large More ❯

Senior Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS … and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Proven track record in defining and developing end-to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deployment Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts Experience in data modeling, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large More ❯

events globally, developing new experiences and insights that power the future of sports. In this role, you will: Deliver at scale: Build and deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for … Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at … scale. Nice to Have: Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you More ❯

and optimising Azure Data Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future capabilities. Collaboration is central … and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced … knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning to enhance reporting and predictive analytics. Data Storage & Processing Azure Data Lake More ❯

and optimising Azure Data Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future capabilities. Collaboration is central … and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced … knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning to enhance reporting and predictive analytics. Data Storage & Processing Azure Data Lake More ❯

The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query … to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be … of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years More ❯

The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products - the group will be responsible for growing Ads business through semantic matching of customer … products, automated bidding for sellers and matching Ads to customer videos on MiniTV b) Personalisation - the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key job responsibilities You will be … of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years More ❯

looking for a Senior AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale. About the Role: In this role, you'll lead the design and implementation of data pipelines and ML infrastructure on AWS. You … ll collaborate with data scientists, architects, and product teams to deliver production-grade ML systems across a variety of domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize … for structured and unstructured data Integrate CI/CD and MLOps best practices for rapid model iteration and deployment Collaborate across teams to align ML engineering efforts with business needs ? What We're Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise More ❯

you'll analyze massive data sets and distill complex information into concise and valuable offerings for investors. Your responsibilities will involve the development of machine learning applications, exploring language models, and other data products. Additionally, you will create original investment research content that drives better outcomes for our … clients. If you possess exceptional interpersonal, communication, and machine learning skills, coupled with a strong quantitative mindset, this is the ideal role for you. Join us in our London office and be part of revolutionizing investment research in the financial industry. Job Responsibilities: Conduct cutting-edge research to … driving the adoption and implementation of AI solutions across Morningstar's business units. Requirements: Minimum 3 years of hands-on experience implementing AI/machine learning solutions, including RAG , NLP , AI Agents , and transformer models, in commercial applications. Advanced degree (Master's/PhD preferred) in a quantitative More ❯

working arrangements available. Please discuss options with your recruiter. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about cutting-edge AI/ML technology? Are you motivated to find innovative solutions to complex challenges as part of a team dedicated to national security? Join BAE Systems as an … experienced Machine Learning (ML) Engineer. As part of our AI team, you will work with National Security Customers to understand their challenges and identify where AI/ML solutions can add value. You will lead prototype development and be responsible for designing, implementing, and deploying AI solutions. This … role requires a strong foundation in software engineering, statistics, and AI/ML concepts, with an awareness of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines … the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with … various data science topics such as architecture, tooling, and best practices. Present at conferences such as Data+AI Summit. Provide technical mentorship to the larger ML SME community in Databricks. Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap. What we look for More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Diffusion models in molecular design Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . More ❯

data scientists, engineers, and consultants are focused on accelerating digital transformation, ensuring tangible results for every client. Role Overview We are looking for a Machine Learning Manager to support a team of data scientists and ensure the successful delivery of our projects. The ideal candidate will be willing … operational transformation. Participate in international projects with opportunities for business travel. Ensure successful project delivery and communicate these successes across the company. Foster continuous learning and growth within the data science team. Provide mentorship, ensuring high work standards and supporting team well-being. Demonstrate technical leadership and contribute to … NoSQL). Understanding of software development lifecycle and agile methodologies. Proven experience designing, developing, and deploying machine learning models. Experience with debugging ML models. Experience with orchestration frameworks (e.g. Airflow, MLFlow, etc). Experience deploying machine learning models to production environments. Knowledge of MLOps practices and More ❯

Job Specification: Machine Learning Engineer (NLP) (Pytorch) Location: Bristol, UK (Hybrid - 2 days per week in the office) About the Role I'm looking for an NLP Engineer to join a forward-thinking company that specialises in advanced risk analytics and machine learning. This is a great … apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured data efficiently. Evaluate and fine-tune machine learning models to ensure optimal performance. Ensure models and data pipelines adhere to best practices for security, robustness, and compliance. Document processes and … of machine learning algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced More ❯

that can be performed by you and others. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience … with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers PhD in math/statistics/ More ❯

innovative, data-driven solutions that power seamless commerce for businesses worldwide. Our Risk Engine is at the core of this mission, utilising cutting-edge machine learning and AI to drive fraud prevention, credit risk management, and business scalability. We are seeking a visionary VP of Data Science to … a product, stays ahead of market trends, and delivers measurable results. This role combines strategic vision with hands-on expertise, driving advanced statistical modeling, machine learning solutions, and actionable insights to enhance growth, manage risk, and deliver outstanding business impact. Location We are an office-led, remote-friendly … techniques (e.g., deep learning, random forests, clustering, anomaly detection). Strong understanding of Credit bureau data. Hands-on experience in data pipelines, ML Ops, and building scalable solutions. Excellent communication skills to present technical insights to diverse audiences. Desirable: Experience in financial services, particularly consumer credit. Background in More ❯

customer problems. Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve … meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. Lead architecture reviews and security assessments. Maintain meaningful … relationships with technical influencers and champions within ML teams, both pre and post-sale. Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger number of internal workloads. Provide market and customer feedback to the Product and Engineering More ❯

Applied Scientist II, AGI Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition … recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Familiar with programming languages such as C/C++, Java, Perl or Python. PREFERRED QUALIFICATIONS Experience in building speech recognition and natural language … processing systems (e.g. commercial speech products or government speech projects). Solid Machine Learning background and familiar with standard speech and machine learning techniques. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Solid software More ❯

Applied Scientist II, AGI Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition … recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Familiar with programming languages such as C/C++, Java, Perl or Python. PREFERRED QUALIFICATIONS Experience in building speech recognition and natural language … processing systems (e.g. commercial speech products or government speech projects). Solid Machine Learning background and familiar with standard speech and machine learning techniques. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Solid software More ❯