426 to 450 of 578 Machine Learning Jobs in Central London

SLAM, computer vision & VIO Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Proficient in modern C++ development Preferred Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or Metal Exposure to embedded systems development. Feel free to also refer someone you More ❯

responsible for building, testing, and scaling production-ready AI experiences that deliver tangible value. Requirements 7+ years of hands-on experience with Python, ideally with a strong foundation in machine learning or applied AI. Experience building and deploying large language models (LLMs) in production environments. Background in FinTech or financial services is a strong plus. Previous experience in More ❯

Machine Learning Engineer - London Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology firms … is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. … Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications More ❯

technical audiences What we’re looking for: At least two years of experience leading a data science or credit risk modelling team A solid background in statistical modelling and machine learning Hands-on coding skills – we use Python, SQL and a bit of SAS Experience building models for unsecured consumer lending or a related field A good grasp More ❯

Consumer competitions, prize draws, or gaming Revenue/yield management or dynamic pricing Digital media or entertainment Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels). Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt. Familiarity with A/ More ❯

Social network you want to login/join with: Machine Learning Engineer - London, london (city of london) col-narrow-left Client: Oliver Bernard Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Machine Learning Engineer … real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. … Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications More ❯

Machine Learning Engineer - Up to £150k + Equity Location: Central London, 5 days onsite Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. … Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. … Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications More ❯

by millions globally—including mobile apps and AI-driven tools for creators, brands, and businesses. Their mission is to bridge the gap between imagination and creation by bringing advanced machine learning and computer vision technologies into the hands of everyday users and professional teams alike. The Data Platform team plays a central role in enabling this innovation. They More ❯

Performance and reward - We offer outstanding earning potential with great benefit packages and base salary, AI Tools for success- We provide the best CRM Platform with the latest AI & Machine learning capabilities, and third-party tools to optimize time and productivity, this is a great opportunity for an entrepreneurial mindset! Many senior specialist vacancies and to further develop More ❯

a fast-growing FinTech startup focused on transforming how data is extracted, analyzed, and utilized in private markets—including private equity, venture capital, and real estate. We leverage advanced machine learning techniques to automate data capture from complex unstructured documents, powering smarter workflows for institutional investors, fund managers, and administrators. Founded in 2018 by a seasoned team of More ❯

and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. Leverage knowledge of AI and machine learning principles to collaborate confidently with technical teams and refine AI behavior. Maintain a strong focus on clarity, tone, and emotional intelligence in all user-facing language. Help More ❯

and driving innovation are key aspects of this role. What you'll be doing Oversee the design and implementation of credit risk models and systems. Integrate advanced analytics and machine learning techniques. Develop and execute the Credit Risk IT technology strategy. Provide visionary leadership and foster a culture of innovation. Manage the Credit Risk IT budget. Oversee vendor More ❯

pipelines (e.g. GitLab CI, ArgoCD) Worked with Kubernetes and infrastructure as code tools such as Terraform for scalable system deployment Are familiar with MLOps practices and tools, and monitoring machine learning systems in production This role will report to the VP of Engineering and can be based anywhere within a 3-hour time zone of the UK. Benefits More ❯

a digital platform, allowing customers to tailor their trips easily, with a strong focus on convenience, competitive pricing, and customer self-service. What Makes a Great Candidate Experience in ML fundamentals. Knowledge deploying ML models at production scale. Good understanding of SQL. Experience with Deep Learning. Happy leading end-to-end projects. Knowledge of GCP is nice-to-have. If … fast-paced environment then this could be a great fit. Join the team to make a difference today. London - 2 - 3 days onsite Salaries - £75 - 100k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯

QA Engineer to lead their QA efforts across global deployments. This is a high-impact, hands-on role where you'll design and execute test strategies for AI/ML systems in regulated environments. What You’ll Do: Lead end-to-end test planning, automation, and execution across internal and external stakeholders. Validate AI/ML models, hardware/software … Strong background in QA/Test Engineering with automation expertise (Python, Pytest, etc.). Experience with Linux, Kubernetes, cloud (AWS), and large-scale data testing. Familiarity with AI/ML validation and performance profiling. A proactive, structured approach and willingness to travel internationally occasionally. This role is offering a salary of up to £120,000 + bonus. Please apply now More ❯

ll play a critical role in shaping how data-driven insights fuel smarter decisions across the business. What you’ll be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models … in production and delivering clear business impact Collaborating closely with product, engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn More ❯

years experience in a relevant role and ideally some exposure to commodities data sets. Strong Python and exposure to Airflow is a must. Tech Stack: Python, AWS, Airflow, SQL, ML, ETL Please apply if you want to be a part of this unique build out. More ❯

What We’re Looking For 4+ yrs in frontend (React or Angular or Vue) Backend chops (DBs, containers, deployments) Strong JavaScript/TypeScript & CS fundamentals Bonus: Generative AI/ML/image processing 🎁 Perks Stock options Full private medical (optical & dental too) Life assurance £3,000 annual transport allowance More ❯

in financial services Lead the Sales Cycle - From prospecting and cold calling through to contract negotiation and deal closure Present Solutions - Deliver compelling demos and presentations showcasing AI/ML-powered fintech solutions The Ideal Candidate Essential: Proven track record of achieving sales targets in Financial Services Experience selling to banks, asset managers, or financial institutions Strong ability to engage More ❯

a rare opportunity to join early, build real AI systems, and take ownership of core architecture and product direction. What You’ll Do Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval) Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.) Define infrastructure and engineering best practices More ❯

in financial services Lead the Sales Cycle - From prospecting and cold calling through to contract negotiation and deal closure Present Solutions - Deliver compelling demos and presentations showcasing AI/ML-powered fintech solutions The Ideal Candidate Proven track record of achieving sales targets in Financial Services Experience selling to banks, asset managers, or financial institutions Strong ability to engage with More ❯

modern frameworks Have taken products from 0-to-1 Know your way around distributed systems and cloud infra (AWS, GCP, etc.) Are excited about the potential of AI/ML in real-world systems The Environment Remote-first (UK & EU-friendly) Flat structure, fast decision cycles, high impact Full autonomy with strong support from the founding team If you are More ❯

infrastructure on internal and cloud environments. Develop continuous integration, release, and automated testing frameworks. Design and manage secure, high-performance databases. Leverage advanced computational techniques: multithreading, vectorization, adjoint differentiation, machine learning. Partner with quants, trading, risk, and IT teams to deliver high-impact systems. Ideal Candidate Will Have: A Bachelor’s degree or higher in a STEM discipline. Expert More ❯

data labels while collaborating closely with our operations team to generate insights and optimise the labeling process. You will play a pivotal role in the development of AI and ML models, ensuring the accuracy and relevance across both integrity and support use cases. A key aspect of the role will involve identifying and addressing instances of bad actors or misrepresentation More ❯

robustness. Requirements: Proven experience in developing and implementing Marketing Mix Models. Expertise in PyMc, Python, and familiarity with R programming for MMM models. Deep understanding of statistical modeling and ML techniques. Experience with regression-based models in MMM contexts. Solid experience with probabilistic programming and Bayesian methods. Expertise in mining large, complex datasets using SQL and Spark. Understanding of statistical More ❯