601 to 625 of 2,904 Machine Learning Jobs in the UK

methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI … engineering skills. Strong expertise in designing and conducting data collection tasks, including working with human annotators. Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models. Hands-on experience training large language models (LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalizability and robustness of ML systems. Proficiency in programming languages such … as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). If some of the above doesn't line up perfectly with your experience, we still More ❯

intelligence or social sciences. Knowledge of experimental design. Experience with big data and awareness of biases. Proficiency in documenting methodologies. Familiarity with version control tools like GitHub. Experience building machine learning pipelines and understanding engineering principles. Knowledge of machine learning techniques such as Random Forest and LGBM. About us: Prevail Partners provides intelligence, research, and consultancy More ❯

building bespoke models for clients and leading expertise across all major industry categories, we are able to offer our talents more opportunities to grow and benefit from a richer learning experience. We call this Power of One. Powered by a 100,000-strong network via Marcel, our AI-based platform, we are also able to provide our clients and … a Senior Data Scientist to join our data team and help transform complex data into actionable insights that enable strategic decision-making. You'll work at the intersection of machine learning, analytics, and business strategy and the associated technical and non technical teams -helping to shape data-driven solutions and strategies that power our data products and production … in data science, model validation, documentation, and reproducibility Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL More ❯

trends and identify key insightsPartner with data engineers and project managers to conduct data investigation analysisBuild and automate dashboards used to present key insights to partnersCollaborate with researchers and machine learning engineers for building data science and machine learning solutions such as anomaly detectionFacilitate cross-functional discussion to find out what is the right technical resolution More ❯

robust, automated, and scalable deployment environments. This position is ideal for someone passionate about infrastructure automation, cloud-native solutions, and enabling the deployment of complex applications, including AI/ML models. Key Responsibilities: Maintain and optimize our cloud infrastructure (primarily AWS) with a focus on reliability, scalability, and cost efficiency. Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such … as Terraform. Build and maintain CI/CD pipelines for application, data, and model deployment workflows. Collaborate with engineering and data science teams to deploy and monitor machine learning models and analytical services. Implement and enforce security best practices across cloud and network environments. Troubleshoot deployment and performance issues across multiple environments. Set up and maintain observability tools … as Bash and Python. Solid understanding of cloud security and networking best practices. Strong experience with Linux system administration and performance tuning. Experience working collaboratively with engineering, data, and ML teams to deliver scalable solutions. Willingness and ability to quickly learn and adopt new tools and technologies. Preferred Qualifications: AWS certifications (e.g., Solutions Architect Associate/Professional, DevOps Engineer). More ❯

different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a … deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and More ❯

a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of … Science/Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication … Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation. More ❯

a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of … Science/Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication … Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation. More ❯

to explain data science principles with clarity to non-technical stakeholders when required * Extensive knowledge of Python programming principles including object-oriented programming, performance optimisation * Experience developing & deploying productionised Machine Learning applications on a cloud platform (GCP ideal, AWS & Azure also acceptable) * Experience with common Python packages for Machine Learning - examples include PyTorch, TensorFlow, XGBoost, scikit … Some knowledge of containerisation & use of tools like Docker & Docker Compose Nice-to-haves (Mix of the following but not all essential): * Experience working with Google Cloud products for ML including Vertex AI Pipelines & BigQuery * Experience with dbt (data build tool) * Previous experience working with advertising data * Experience with FastAPI or other Python API frameworks * Experience with dashboarding tools such More ❯

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯

to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a Lead Data Scientist … design, implementation, and deployment Strong proficiency in Python and SQL, with practical experience in designing and implementing efficient data pipelines, including performance tuning and optimization. Proven ability to apply machine learning techniques to real-world problems. Familiarity with core libraries such as Pandas, NumPy, Scikit-learn, SciPy, and Polars is expected. Experience with digital signal processing, mobile sensor … non-technical audiences, and building alignment. A growth mindset: open to feedback, committed to continuous learning, and eager to help others develop. Nice to Have Experience leading applied ML projects end-to-end, with a focus on code quality, runtime efficiency, and measurable impact. Familiarity with cloud platforms (e.g. AWS), containerisation (Docker, Kubernetes), and orchestration tools. Experience mentoring and More ❯

priority shifts while maintaining timelines and momentum. Qualifications Bachelor's degree in computer science, Computer Engineering, or related fields. 3-5 years of experience in Machine Learning (ML), with expertise in crafting and reviewing production-grade Python code. Strong knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch) and practical implementation of ML algorithms at a large scale. More ❯

Role: Senior Machine Learning Engineer Location: London (Hybrid) Clearance Required: SC/DV Clearance or ability to obtain Salary: £115,000 - £135,000 + Benefits … iO Associates have recently engaged with one of the most talked about Defence SMEs in the UK at the moment who is seeking a Senior Full-Stack AI/ML Engineer to deliver advanced AI capabilities into mission-critical Defence and National Security environments. This role is focused on designing and deploying agentic AI systems that operate securely in air … deployment at scale, supporting sovereign capability and mission-readiness across defence and intelligence domains. Key Skills & Experience: - Commercial experience with LangGraph or equivalent agentic frameworks - Python for AI/ML workflows, with Bash/Go for automation - Secure cloud deployment experience (AWS - multi-account, multi-region) - Terraform, Helm, CloudFormation - Kubernetes (EKS/OpenShift) and CI/CD (GitHub Actions/ More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and More ❯

Apply knowledge of data science concepts to translate business problems to analytics solutions with clear output and with foreseen impactful outcomes. Lead the design, development, and deployment of scalable machine learning models, ensuring integration into production with ongoing performance monitoring. Provide project management oversight required to meet client expectations. Responsibilities may include the development of presentations and managing … concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning and cloud experience (Azure, AWS or GCP). Understanding data engineering solutions is a plus. Proven ability to manage projects with expert team members and to provide More ❯

Design and implement real time sentiment analysis and NLP pipelines for social feeds (Twitter, Reddit, Discord, Telegram, etc.), covering ingestion, tokenization, entity extraction, and sentiment scoring. Develop and train ML models, starting with pre built services and advancing to custom transformer architectures, to continuously improve the accuracy and relevance of sentiment signals. Collaborate with cross-functional teams (frontend, design, marketing … product) to roadmap and deliver new ML-driven insights and to design intuitive consumer-facing dashboards and alert systems that visualize real-time mindshare and sentiment metrics aligned with product goals. Ensure data security and compliance, particularly around user generated content, API keys, and any PII in social media streams. Maintain code and model quality : author clean, efficient, and maintainable … code; implement comprehensive testing and debugging; and lead code reviews, share best practices, and mentor teammates. Knowledge & Experience 5+ years in ML or data engineering roles, building production-grade NLP or sentiment systems. Proven track record building low-latency, high-throughput data pipelines and APIs using Go, Python, or similar. Hands-on NLP experience with both pre-built services (e.g. More ❯

with Business Relationship Managers and Solution Designers to develop practical solutions. DevOps Methodologies: Utilise modern DevOps practices to enhance efficiency and productivity. Technology Trends: Leverage emerging technologies in AI, machine learning and data science for professional services. You'll be someone with: Python Expertise: Deep knowledge of Python and its ecosystem for complex applications. Cloud Deployment: Experience with … Science Tools: Proficiency in Numpy, Pandas, Matplotlib, Seaborn and Scikit-learn. MLOps: Experience building pipelines (CI/CD) using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development: An understanding of REST. Experience with Flask or FastAPI. Data Validation: Knowledge of Pydantic for data validation. Scripting and Prototyping: Use … ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy.Our success is powered by our people, which is More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP).Visual LLMs (e.g. LLaVA). Generative … within the center. Interact with product and engineering teams for the purpose of technology transfer. Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning.Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . RESPONSIBILITIES … keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . RESPONSIBILITIES … keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have More ❯

innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work. This achievement not …/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. More ❯

a unique opportunity to combine engineering excellence with external advocacy, helping users succeed while influencing the direction of our product and community. Engineering Design, develop, and optimize AI/ML features in Qdrant's core engine and SDKs. Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain). Analyze performance, identify bottlenecks, and implement scalable solutions … the community to inform product development. Requirements Strong proficiency in Python. Solid understanding of machine learning concepts, embeddings, and vector search. Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face). Excellent communication skills; ability to explain technical topics to diverse audiences. Prior experience contributing to open-source projects or engaging with developer communities. … Comfortable presenting and participating in public forums, events, or customer meetings. Bonus Points Contributions to AI infrastructure, vector databases, or search systems. Experience building ML-powered products in production. Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG). Public speaking or published technical content (talks, blog posts, tutorials). Familiarity with the Qdrant ecosystem or similar technologies. More ❯