18 of 18 Permanent Machine Learning Jobs in West London

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits ⚙️ Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have … joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud More ❯

Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication and stakeholder engagement skills Bonus Points For: Experience with CI More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

framework. Architect scalable, Azure-based data platforms to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with … Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience in public sector, cultural, or not-for-profit environments (though this is not essential What's On Offer: A salary of More ❯

controllers) into experimental workflows. Build pipelines for real-time or post-run data processing e.g., images from microscopes. Develop software for data analysis, data QC checks, statistical analysis, or machine learning models to interpret experimental data. Understand experimental goals and help translate scientific requirements into technical solutions. The ideal Software Engineer will hold a PhD in Computer Science More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

You'll need a degree in mechanical or aerospace engineering combined with commercial work experience in engineering data analysis using modelling tools such as Power BI, advanced Excel and ML CV not ready? No problem, just call, text or email me - I'll always get back to you More ❯

serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/… exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. … Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description More ❯

in the UK, driving a significant proportion of our sales. Our engineering practice includes 80+ teams, working on everything from Cloud platforms to mobile apps, from ecommerce functionality to machine learning. Have a quick glance of our Engineering best practices, see our engineers talk about their experience and opportunities to learn and grow; Check out our Tech stack, reach … engineering approaches will also require strong stakeholder management capability. There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you. Learning new skills is extremely important to us. Engineers are expected to continuously improve their skills and keep abreast of the latest technologies and techniques regardless of their experience or … job grade. In return for this commitment you will be given the resources and support you need to help you with your learning journey. Essential skills/experience youll need For this role we are looking for a hands-on Senior Quality Engineer who has extensive knowledge, skills and experience of delivering native mobile apps for iOS and/ More ❯

Role: Technology & AI Manager Salary: £65k - £75k Location: West London (Heathrow/Uxbridge) Hybrid Working - 2 days on-site/3 days WFH Skillset: Data Products/AI/ML Summary A brand-new position has opened for a Technology and AI Manager to join a thriving global logistics and transportation company. The role is being offered on a hybrid … act as the bridge between business stakeholders, the technology division, and external technology partners. We are looking for someone who can identify opportunities to design and deploy AI and ML within the business. The company already have ideas as to where this can work well but are looking for additional ideas, expertise and knowledge. What are we looking for The More ❯

Role: Technology & AI Manager Salary: £65k - £75k Location: West London (Heathrow/Uxbridge) Hybrid Working - 2 days on-site/3 days WFH Skillset: Data Products/AI/ML Summary A brand-new position has opened for a Technology and AI Manager to join a thriving global logistics and transportation company. The role is being offered on a hybrid … act as the bridge between business stakeholders, the technology division, and external technology partners. We are looking for someone who can identify opportunities to design and deploy AI and ML within the business. The company already have ideas as to where this can work well but are looking for additional ideas, expertise and knowledge. What are we looking for The More ❯