201 to 225 of 470 Machine Learning Jobs in Central London

with teams and leadership to align data strategy with business goals Set up data governance, quality controls, and compliance frameworks Make data AI-ready and optimize for analytics and machine learning Embed security, privacy, and ethics into all data architecture decisions Lead the overall data architecture vision across different business areas Qualifications and Requirements: 5+ years in senior … Experience implementing privacy-by-design principles, data governance frameworks, and interoperability standards with proven stakeholder engagement abilities Desirable: Data certifications, Python/Java development, infrastructure automation (Ansible), AI/ML pipeline optimization, and Dell Data Lakehouse/DDAE experience Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

with teams and leadership to align data strategy with business goals Set up data governance, quality controls, and compliance frameworks Make data AI-ready and optimize for analytics and machine learning Embed security, privacy, and ethics into all data architecture decisions Lead the overall data architecture vision across different business areas Qualifications and Requirements: 5+ years in senior … Experience implementing privacy-by-design principles, data governance frameworks, and interoperability standards with proven stakeholder engagement abilities Desirable: Data certifications, Python/Java development, infrastructure automation (Ansible), AI/ML pipeline optimization, and Dell Data Lakehouse/DDAE experience Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

AI. Our CEO, Danyal, has extensive experience in Private Equity and Investment Banking at top-tier institutions including AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, brings significant Machine Learning and AI experience from leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team consists of early-stage startup veterans passionate More ❯

AI. Our CEO, Danyal, has extensive experience in Private Equity and Investment Banking at top-tier institutions including AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, brings significant Machine Learning and AI experience from leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team consists of early-stage startup veterans passionate More ❯

skills in languages and with tools such as ReactNative/Flutter/Next.js, Supabase/Postgres, Python Experience in system architecture design and implementation Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems Experience in startup environments and rapid product development Bachelor's or More ❯

skills in languages and with tools such as ReactNative/Flutter/Next.js, Supabase/Postgres, Python Experience in system architecture design and implementation Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems Experience in startup environments and rapid product development Bachelor's or More ❯

is mandatory. Experience with ActiveCampaign is highly advantageous for the migration process. Strong skills in Canva, Figma, Zapier, WhatsApp integrations, and Looker Studio. ● AI Fluency: Demonstrated ability to apply machine learning and generative AI tools for segmentation, personalisation and content creation; understanding of lead scoring and predictive analytics. ● Technical: Understanding of HTML/CSS for email template customisation More ❯

is mandatory. Experience with ActiveCampaign is highly advantageous for the migration process. Strong skills in Canva, Figma, Zapier, WhatsApp integrations, and Looker Studio. ● AI Fluency: Demonstrated ability to apply machine learning and generative AI tools for segmentation, personalisation and content creation; understanding of lead scoring and predictive analytics. ● Technical: Understanding of HTML/CSS for email template customisation More ❯

domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/ More ❯

domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/ More ❯

with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding real value. They’re looking for Lead/Senior ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior More ❯

with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding real value. They’re looking for Lead/Senior ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior More ❯

solving mindset, with a desire to understand how systems and processes work – and how they can fail. Interest in cloud computing (e.g. AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge More ❯

solving mindset, with a desire to understand how systems and processes work – and how they can fail. Interest in cloud computing (e.g. AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge More ❯

effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment More ❯

effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment More ❯

Cultivate talent and foster knowledge transfer to scale expertise across the Labs. Minimum Qualifications • Experience: 12+ years in enterprise architecture or software engineering, including significant leadership of AI/ML platform initiatives. • Technical Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex More ❯

Cultivate talent and foster knowledge transfer to scale expertise across the Labs. Minimum Qualifications • Experience: 12+ years in enterprise architecture or software engineering, including significant leadership of AI/ML platform initiatives. • Technical Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex More ❯

Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message me here or email mmatysik More ❯

Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message me here or email mmatysik More ❯