76 to 100 of 491 Permanent Machine Learning Jobs in London

Title: Senior Machine Learning Engineer (NLP) Type: Contract Rate: £500-600 per day Length: 6 months Location: London (Hybrid) We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products! You … to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for … data science and mentoring, and a desire to share knowledge. PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more more »

Senior Machine Learning Engineer Location: Remote in the UK Be part of the AI revolution! We're on the lookout for an Engineering Lead to join our Professional Services team. Your objective? To tailor and integrate our cloud-based AI language model builder to suit a variety of … Computer Science or related disciplines. Over 7 years of experience in software engineering, including at least 3 years in leadership capacities. Proficiency in AI, machine learning, and NLP. Demonstrated aptitude in project leadership and communication. Familiarity with AI frameworks and cloud platforms. Why work with us? Purpose-Driven more »

Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End … to-end machine learning product development, from data wrangling to model tuning and deployment Provide insightful storytelling to stakeholders through compelling dashboards and visualisations Lead and oversee intricate data projects Coach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the team Requirements … Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »

Machine Learning Engineer (LLM) £60-80k + equity Full time in the office (London) Ground-breaking AI Start-up La Fosse have partnered with an initiative AI Start-up which their solution optimises LLMs to enable commercial teams to conduct hyper-personalised campaigns at scale and create … If you’re interested in this role and are happy working 5 days a week in the office, apply now to find out more! Machine Learning Engineer (LLM more »

cutting-edge software and AI solutions. Their mission is to revolutionize industries through advanced technology, utilizing a combination of Java, Kotlin, React, JavaScript, MongoDB, Machine Learning, and Azure cloud services. They are dedicated to pushing the boundaries of what's possible and delivering impactful solutions to their clients. … technical specifications and solutions. Design and develop robust, scalable, and efficient software applications using Java, Kotlin, React, JavaScript, MongoDB, and other relevant technologies. Implement machine learning algorithms and integrate AI capabilities into software solutions to enhance performance and functionality. Work closely with DevOps teams to ensure smooth deployment … development, with a strong proficiency in Java, Kotlin, React, JavaScript, and MongoDB. Solid understanding of machine learning concepts and experience in applying ML algorithms to real-world problems. Hands-on experience with cloud platforms, preferably Azure, and expertise in deploying and managing applications on cloud infrastructure. Strong problem more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now what to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy taking decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning more »

key part of your role. What are the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. more »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value. You may also participate in due … matter expertise in valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages more »

AWS cloud services Developer for Machine Learning Software Development company. Key Skills Big data; import, manipulation, storage and management. Redshift; (Athena and Glue, security process and Infrastructure on Cloud/IoC). Python DevOps; Automation Testing, CI, implementation and environment provisioning. This is a senior role that will … mix hands on coding and infrastructure management. It will suit a senior AWS Cloud expert with significant Data Science, Machine Learning or Big Data experience. more »

backed by 8VC, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point. This involves: Building edge applications processing vision data and communication layers for the compute-constrained edge … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer £ 80-120k base Company equity % in more »

Description Higgsfield AI democratizes marketing video creation using proprietary foundational video models. Role Description This is a full-time on-site role for a Machine Learning Researcher at Higgsfield AI in the London Area, United Kingdom. Your day-to-day tasks will include training … large-scale world models and bringing them to production. Qualifications Strong software engineering skills and proficient in Python Have experience working with multi-modal ML pipelines Strong problem-solving and analytical thinking abilities Excellent communication skills and ability to work in a team Have experience of large-scale training Experience … in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »

software engineering team. This individual will manage a team of seven engineers, guiding them in the development of state-of-the-art AI and machine learning solutions. The ideal candidate will have a strong background in Python, data science, machine learning, and AI, with a proven … strategy for the engineering team, ensuring alignment with company goals and industry best practices. Stay up-to-date with the latest advancements in AI, machine learning, and healthcare technologies, and integrate relevant innovations into the team's work. Ensure the robustness, scalability, and security of all software solutions. … degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in software engineering, with a focus on AI and machine learning. Proven leadership experience, with at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with more »

and Inclusion: We celebrate diverse perspectives and are committed to an inclusive environment where everyone thrives. About The Job Join us as a Senior Machine Learning Engineer (LLM) and play a pivotal role in shaping AI-driven design automation. You will: Lead the development of new generative AI … Computer Science or a related field, or possessing similar practical experience. A minimum of 4 years' experience in Python, with a strong foundation in machine learning principles. Proficient in modern AI frameworks and libraries, notably PyTorch and Hugging Face. Experienced with foundational Large Language Models (LLMs) APIs in … collaborative environment. It's an advantage if you are proficient in C++ or Julia for research and production purposes. Additional advantage for experience in ML Ops and deployment across various cloud platforms (AWS, GCP, Azure). Benefits Competitive Salary: Fair and attractive compensation 💼 Equity: Significant stake in a rapidly growing more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will more »

Graduate Software Engineer - Machine Learning - North London - £40,000 - £50,000 A rapidly expanding company specialising in business intelligence software based in North London are looking to bring on a Graduate Software Engineer. The company are looking at expanding into the Machine Learning and Artificial Intelligence … driven decisions. Requirements A degree in a relevant subject (ideally computer science) from a Russel Group or equivalent university A passion for AI or ML with personal projects, university projects or internships (Highly desirable) An Abundance of coding experience Apply now as interviews are currently being scheduled. Graduate Software Engineer … Machine Learning - North London more »

pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning techniques. Optimizing and fine-tuning existing Python codebase for maximum efficiency and scalability, employing techniques like parallel computing, asynchronous programming, and memory … in Python programming language, with a deep understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms. Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of … and will have a significant and meaningful impact in the business. ABOUT YOU: We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects … expectations. WHY JOIN: You’ll be at the forefront of innovation shaping a fast-growing industry 🔥 Salary of £80,000 - £105,000 💸 The best machine to do your work: a spec’d-out Macbook Pro 💻 Share options so you benefit from our success 🚀 28 days paid holiday plus bank more »

helping to develop models, tools, and algorithmic models, to help aid in customer retention, engagement, and much more. The firm is beginning to use Machine Learning and AI within the role, so the ideal candidate will already have a familiar grasp and will be able to construct problem … problem-solving initiatives from existing datasets (ad targeting, up-sell/re-sell opportunities, opportunities for continued engagement). Work within data science and machine learning to continue automating the existing product suite: AI, Chatbots, Actions, Workflows etc. Explore new AI approaches and stay updated on advancements to … tackle complex issues. Key Experience: Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects more »

one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

a leading Marketing Consultancy on a Senior Data Scientist role. You will be working with an established team of Data Scientists on commercially driven Machine Learning models. ROLE: Work closely with a team of Data Scientists to design and build Machine Learning models around Pricing, Propensity … on ROI and added value. Work closely with the Engineering team and business leaders to define project scope and requirements REQUIREMENTS: Proven background in Machine Learning, specifically in the modelling techniques mentioned above. Experience in customer driven modelling with clear evidence of commercial impact and value. Strong communication more »

team of 10+. Thanks to growth, they're now looking for an additional senior to join the firm and continue driving growth in the Machine Learning areas of the business. As a senior in the role, you’ll be afforded real autonomy when it comes to making technical … problem-solving initiatives from existing datasets (ad targeting, up-sell/re-sell opportunities, opportunities for continued engagement). Work within data science and machine learning to continue automating the existing product suite: AI, Chatbots, Actions, Workflows etc. Explore new AI approaches and stay updated on advancements to … Research/stats involved in programme) Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a more »

fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data-driven approaches. Job Responsibilities/Outline of job Lead the development, enhancement, and maintenance of … cutting-edge machine learning models to address business challenges and opportunities. Collaborate with cross-functional teams to identify and prioritize data science projects that align with company goals and objectives. Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex … looking for: Proficiency in programming languages and tools such as Python, R, Snowflake, dbt Experienced in mentoring & developing teams Strong understanding of statistical concepts, ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this opportunity please apply or more »