23 of 23 Part-Time Machine Learning Jobs in Central London

higher-quality, more intelligent ad-funded internet. Theyre now hiring their first ever Applied Machine Learning Engineer someone curious, hands-on, and ready to own all things ML from day one. What youll be doing: Building and deploying applied ML systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to … engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What theyre looking for: 13 years experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy … real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why youll love it: Real ownership from day one build, shape and scale the ML function Hybrid setup (London-based, flexible culture) 33 days holiday + Christmas shutdown Private medical, pension, socials, offsites & more If youre ready to More ❯

AI/Machine Learning Engineer Agentic AI & LLM Systems Were partnered with a pioneering AI organisation pushing the boundaries of Agentic AI building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , youll design the frameworks, tools, and data loops that allow intelligent agents to think, plan … Youll Bring: 4+ years experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory …/reflection mechanisms. Proven ability to debug, optimise, and scale ML experiments and compute pipelines. MSc or PhD in AI, Computer Science, or related field . Bonus Skills: Research track record (papers, open-source, Kaggle). Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: Competitive Rates (Outside IR35) 612 months (with likely More ❯

Founding Machine Learning Engineer - Rapidly Growing Start-Up - London Principal ML Engineer required to join the founding team on the design and deployment of cutting-edge AI systems. This is a hands-on, high-intensity role - perfect for someone who thrives in fast-moving, high-stakes environments and wants to help build from the ground up. Responsibilities Build … and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track record … of delivering ML projects from idea production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isnt just More ❯

be involved in architecting scalable AI systems and collaborate closely with cross-functional stakeholders to translate business objectives into AI-driven solutions. As part of a small AI/ML dedicated team (sitting in the tech & product function), you will have a significant contribution to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A … notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP … and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch Experience deploying and maintaining scalable production-grade AI systems Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure) Experience working in small or mid More ❯

Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use of AI and adherence to data privacy regulations. Essential Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI More ❯

sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. In this role, you will: Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches, and fans. Collaborate … skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. MLOps. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale. Nice to Have: Sports … tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the requirements, then apply More ❯

asset trading book spanning metals, forex, and derivatives. The position combines system development, advanced analytics, and automation to enhance decision-making, risk management, and strategy execution, leveraging quantitative methods, machine learning, and close collaboration with trading and research teams. 6 Month rolling contract multi-year renewals Up to 950 per day, INside IR35 Hybrid working: 2 days in … Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with Dashboarding/Visualisation tools GRAFANA is HIGHLY PREFERABLE Derivative Business Knowledge Option pricing and modelling. BONUS Machine Learning or Neural networks METALS COMMODITY EXPERIENCE If you are interested in this Quant Dev role, please do reply to this ad with your updated CV or send More ❯

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If youre interested please reply with an updated CV or send directly to: oscar@virtuetech.io Front Office Python More ❯

one of the UKs most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, youll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product-led More ❯

design Business process development and architecture Application development and architecture Data architecture and management Technical/Infrastructure development and architecture DevOps, CI/CD Pipelines, Scripting and Automation Languages Machine Learning and Artificial Intelligence Diversity, equity and inclusion We are committed to equal opportunities for all and will not discriminate on any grounds. We encourage applications from people More ❯

Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, SaaS, UX and Web Development, APIs, Open Data, Automation, Insight and Analytics, Data Warehouse, Internet of Things, Mobile Apps, Machine Learning, DevOps, Data and Network Security. Please see the candidate pack for full details of the role. Diversity, equity and inclusion We are committed to equal opportunities for More ❯

PMP, PRINCE2, or SAFe Agile certification . Experience in regulatory reporting , liquidity stress testing , or Smartstream Real-Time Cash Management is a plus [6] . Exposure to AI/ML-driven innovation in financial services is advantageous [7] . More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. Youll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day … Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecyclefrom data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor junior More ❯

Were partnering with a fast-growing AI startup thats transforming how investors make decisions in real estate. Their cloud-native SaaS platform combines street-level data, financial modelling, and machine learning to deliver smarter, data-driven investment insights . With a new funding round about to drop , theyre entering a bold new growth phase - expanding products, scaling systems More ❯

and tested prototypes prior to deployment Track record with front-end (React, Unity, WebGL, Android, iOS, React), back-end (Kotlin, REST, AWS, PHP8/Symfony4, AWS/Azure), AI, ML, web Past experience as a hands-on software engineer, ideally on Back End systems Ability to take concepts from vision to technical solutions working with business, technical, management, and subject … matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract and retain talented individuals An inspirational leader, capable of motivating a team towards both innovation and implementation, and motivating More ❯

as managing a team/Strategy. Strong degree in Computer Science or a related field from a top tier university (Oxford, Cambridge, Imperial) Experience or interest in AI/Machine Learning Likely to have experience in a Saas based company, ideally start up or early stage company going through growth. Salary for the Head of Engineering role will More ❯

with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows Happy to liaise with clients If you can see yourself in a mission-led, impact-focused team, apply now! JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

investment firms with a marketleading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is Londonbased (circa 1314 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days inoffice (Mondays & Wednesdays, nonnegotiable) in Victoria area, London Pension scheme; private medical; basic onsite gym access 25 days holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer | Node.js & SQL | DataHeavy More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. GIMO is committed to More ❯

Engineering Manager AI/ML (Computer Vision Focus) Up to 120/130k + bonus + shares Remote-first occasional travel to London Innovating real-time AI in a world-class SportsTech environment Im working with a pioneering company in the SportsTech industry thats scaling their AI capabilities and continuing to push the boundaries of real-time computer vision applications. … As part of this growth, theyre looking for an Engineering Manager AI/ML to lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions. This role is ideal for someone with strong leadership experience who enjoys guiding technical architecture and design but prefers to remain hands-off in coding. Youll play a critical … in shaping real-time AI systems while fostering engineering best practices and a strong, collaborative culture. What youll be doing: Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision. Drive architectural decisions and technical direction across real-time AI systems. Work closely with senior stakeholders to align engineering efforts with business goals. Create More ❯