1 to 25 of 97 Machine Learning Jobs in West London

vision is to enable better visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI/ML to take … are looking for someone who has focused on hands-on coding rather than management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this … is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training More ❯

network you want to login/join with: Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence … a clear and actionable manner, both verbally and in written form. Your reports should be precise, insightful, and aligned with business objectives. Nice to Have Experience supporting AI/ML model training infrastructure (e.g., GPU orchestration, model serving) for both Diffusion- and LLM pipelines. Familiarity with data lake architectures and tools like Delta Lake , LakeFS , or Databricks . Knowledge of … frameworks (e.g., MLflow, Kubeflow, Vertex AI). What We Offer Competitive salary + equity Flexible work environment and remote-friendly culture Opportunities to work on cutting-edge AI/ML technology Fast-paced environment with high impact and visibility Professional growth support and resources #J-18808-Ljbffr More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

are seeking a candidate who is passionate about sports and analytics, and excited about their intersection. The ideal candidate would have experience as a problem solver, data scientist/ML engineer, and communicator, with a strong grasp of statistical methods. You’ll work as part of cross-functional teams to solve challenges and aid decision makers across the sporting landscape … technology. Can-do attitude; a self-starter who takes initiative. Collaborative, open to feedback, and willing to learn. Junior Data Scientist Responsibilities Support the design, development, and validation of machine learning models for performance, product, and commercial use cases. Clean, transform, and analyze complex datasets. Contribute to development-ready Python codebases. Produce visualizations and client-facing presentations. Collaborate … strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimization. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply Send your CV and cover letter to More ❯

about sports and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data scientist/ML engineer, and communicator, with a strong grasp of statistical methods. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting … starter who takes the initiative to drive the company forward. Collaborative, open to feedback and willing to learn. Junior Data Scientist Responsibilities Support the design, development and validation of machine learning models for performance, product, and commercial use cases. Clean, transform, and analyse complex datasets. Contribute to development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate … strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimisation. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to apply? To apply, send your CV and covering More ❯

about sports and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data scientist/ML engineer, and communicator, with a strong grasp of statistical methods. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting … starter who takes the initiative to drive the company forward. Collaborative, open to feedback and willing to learn. Junior Data Scientist Responsibilities Support the design, development and validation of machine learning models for performance, product, and commercial use cases. Clean, transform, and analyse complex datasets. Contribute to development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate … strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimisation. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply To apply, send your CV and covering More ❯

about sports and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data scientist/ML engineer, and communicator, with a strong grasp of statistical methods. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting … starter who takes the initiative to drive the company forward. Collaborative, open to feedback, and willing to learn. Junior Data Scientist Responsibilities Support the design, development, and validation of machine learning models for performance, product, and commercial use cases. Clean, transform, and analyse complex datasets. Contribute to development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate … strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimisation. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. To apply, send your CV and covering letter to contact More ❯

about sports and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data scientist/ML engineer, and communicator, with a strong grasp of statistical methods. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting … starter who takes the initiative to drive the company forward. Collaborative, open to feedback and willing to learn. Junior Data Scientist Responsibilities Support the design, development and validation of machine learning models for performance, product, and commercial use cases. Clean, transform, and analyse complex datasets. Contribute to development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate … strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimisation. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply To apply, send your CV and covering More ❯

about sports and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data scientist/ML engineer, and communicator, with a strong grasp of statistical methods. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting … starter who takes the initiative to drive the company forward. Collaborative, open to feedback and willing to learn. Junior Data Scientist Responsibilities Support the design, development and validation of machine learning models for performance, product, and commercial use cases. Clean, transform, and analyse complex datasets. Contribute to development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate … strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimisation. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply To apply, send your CV and covering More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

west london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯

Graduate AI and Machine Learning Engineer The following information provides an overview of the … skills, qualities, and qualifications needed for this role. About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. www.data.reply.com Role overview: As a Graduate AI & Machine Learning Engineer … machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers More ❯

data scientists to focus on research and innovation in synthetic data, enhancing data-driven solutions for clients and Ipsos. You will often support the productionisation and scaling of local ML models, guiding the data science teams and providing the guardrails as they develop and iterate. What will I be doing? As a Data Engineer on the ground-breaking Route project … Cloud storage systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Familiarity with Terraform and data systems optimisation. Commitment to data quality and experience in synthetic data, AI/ML model deployment. Excellent communication skills and a collaborative and positive mindset. Willingness to learn. GCP certifications are a plus. We offer a comprehensive benefits package designed to support you as More ❯

and tools like Anthos or CloudFormation. In-depth understanding of advanced cloud networking concepts, including network segmentation and DDoS protection. Experience with cloud-based data services and AI/ML tools to support data-driven solutions and enhanced analytics. Understanding of Zero Trust principles and secure environment implementation. If you are passionate about cloud architecture and thrive in a collaborative More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

building chatbots/agents using LLM. ? Tackle complex engineering challenges: Think scalable infrastructure, observability, CI/CD pipelines, and model deployment. ? Work cross-functionally: Partner with product managers and machine learning teams to deliver practical, user-facing AI features. ? Join a company with serious momentum: This team sits within a well-established, profitable tech firm with strong ties … fintech. What You Bring: Experience in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and ship What’s on Offer: ️ Travel perks, sabbaticals, and plenty of paid time off ? A More ❯

ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. … datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross skill in AI and contribute … to a culture of learning, excellence, and collaboration. Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Loyalty award scheme 24/7 access to EAP including Wisdom AI app Access to Bright Exchange Online marketplace Remote working with the option to work from our Central More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

Apps for building low-code applications that integrate with data workflows. Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing data insights and decision-making. Exposure to machine learning or advanced analytics techniques is a plus. Why Join Us? Be part of a forward-thinking team, helping to build the culture where data drives decision-making. More ❯

Apps for building low-code applications that integrate with data workflows. Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing data insights and decision-making. Exposure to machine learning or advanced analytics techniques is a plus. Why Join Us? Be part of a forward-thinking team, helping to build the culture where data drives decision-making. More ❯

in software engineering and architecture. Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform). Proven leadership in scaling modern systems and teams. Familiarity with AI/ML pipelines. Excellent communication and stakeholder engagement skills. #J-18808-Ljbffr More ❯

and tools like Anthos or CloudFormation. In-depth understanding of advanced cloud networking concepts, including network segmentation and DDoS protection. Experience with cloud-based data services and AI/ML tools to support data-driven solutions and enhanced analytics. Understanding of Zero Trust principles and secure environment implementation. If you are passionate about cloud architecture and thrive in a collaborative More ❯

Social network you want to login/join with: Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company … building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Data Scientist will join a very bright, talented team of engineers with the guidance of technologists who have help build up some of the best known technology companies … 2yrs+ in a commercial Data Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands More ❯

to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share learning across teams to support wider AI adoption. Stay current with developments in AI, automation, and machine learning tools and techniques. What We’re Looking For: Demonstrable experience … ability to manage projects independently in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive … benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking, and experimentation-friendly work environment. Opportunities for continuous learning and career development. Location: Remote with very occasional travel (UK-based) Salary: Up to £90,000 + typical benefits If you’re an experienced Data Scientist with a passion for AI, automation, and More ❯