1 to 25 of 26 Machine Learning Jobs in West London

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 ❯

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 ❯

team and focuses on managing and delivering projects, identifying and implementing strategic opportunities and working with the business to extract value from their data assets. This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable … be your key responsibilities? Plan and lead data science projects to understand and optimise manufacturing processes across different regions and plants. Manage multiple projects at the same time Use machine learning techniques, visualisations, & statistical analysis to gain insight into various data sets some readily available, and some that have been created and curated by yourself. Apply the right … engagement with the digital transformation strategy. Participate in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-owners. Adhere to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to effectively leverage More ❯

team and focuses on managing and delivering projects, identifying and implementing strategic opportunities and working with the business to extract value from their data assets. This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable … be your key responsibilities? Plan and lead data science projects to understand and optimise manufacturing processes across different regions and plants. Manage multiple projects at the same time Use machine learning techniques, visualisations, & statistical analysis to gain insight into various data sets some readily available, and some that have been created and curated by yourself. Apply the right … engagement with the digital transformation strategy. Participate in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-owners. Adhere to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to effectively leverage 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 ❯

tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership defining vision, roadmap and stakeholder … Requirements analysis and specification gathering business needs and translating them into technical requirements, Solution design architecting robust analytical frameworks and methodologies, Model generation coding, testing and validating statistical or machine learning models, User acceptance testing managing end-user testing and feedback integration, and On-going support and maintenance ensuring reliability, scalability and continuous improvement of models in production. More ❯

be enthusiastic and willing to learn new things. It is also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask … holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. More ❯

of both Java and SQL is required. Preferred knowledge of Oracle, Mongo, Hibernate, Spring, Quarkus and Angular. An interest of experience preferred in mobile programming, Cloud computing, AI and Machine Learning. Analytical, keen to learn, develop and explore new technology. Meticulous attention to detail, rigorous and patient with complex financial software systems. What's in it for you If More ❯

acumen, with the ability to effectively promote and advocate for innovative solutions.· Excellent communication and presentation skills, with the ability to impress and influence senior executives.· Experience in AI, machine learning, or related fields is highly desirable.· Strong leadership and team management skills, with the ability to inspire and motivate cross-functional teams.· Ability to work effectively in More ❯

acumen, with the ability to effectively promote and advocate for innovative solutions.· Excellent communication and presentation skills, with the ability to impress and influence senior executives.· Experience in AI, machine learning, or related fields is highly desirable.· Strong leadership and team management skills, with the ability to inspire and motivate cross-functional teams.· Ability to work effectively in 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 ❯

Kingdom 3 months ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 2 days ago Software Engineering Manager, Machine Learning London, England, United Kingdom 3 days ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 day ago London, England, United Kingdom 2 months More ❯

domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across 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 ❯

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 ❯