26 to 50 of 489 Machine Learning Jobs in London

through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. You will also be tasked to lead a team of ML/Data professionals. The Role: As a Machine Learning Engineer: Apply … project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled … Apply: Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page. Desired Skills and Experience ML Engineering more »

per annum + Bonus Location: Hybrid (London) Are you ready to join an energetic team of Data Scientists dedicated to creating impactful, commercially viable machine-learning models within the healthcare sector? ABOUT THE ROLE: As a key member of our team: You will collaborate closely to develop and more »

strategies across the customer lifecycle to enhance profitability and decisioning Collaborating with the data science team to drive model performance and implementation of innovative machine learning models Working with the Product team to launch new offerings and monitor the wider market YOUR SKILLS AND EXPERIENCE Strong academic background more »

Job Title : ML Ops Software Developer – Elite Tech Firm (£160,000 + Hybrid) Client : Elite Tech Firm Salary : £160,000 + performance-based bonuses Location : London/Hybrid Roles and Responsibilities : We are working with an Elite Tech Firm who are seeking a highly motivated and talented ML Ops Software … to join their team. As a member of their dynamic team, you will have the opportunity to work on building out the cutting-edge ML infrastructure used by other engineers for the deployment of ML models. Benefits : Explore unparalleled avenues for professional development within a technology-driven organization, empowering you … exposure to a wide range of technologies. Key Requirements: Degree in Computer Science or STEM based subjects. Strong programming skills in python as a ML Ops Software Developer. 5+ years of work experience in a relevant role such as ML software or quant development or technology. Proficiency in modern software more »

Our vision is to provide innovation through AI to positively disrupt companies and industries. Therefore the ability to align the practical implementation of AI & ML to an enterprise’s real-world objectives and strategy is critical. Our key criteria of success is measurable business performance improvement. The role will work … expertise. Requirements Experience working in Professional Services Consulting, selling and delivering transformational outcomes to enterprise organisations Outstanding domain knowledge in the fields of AI, ML and data science. You understand the mechanics but can also promote the possibilities of the field to those who don’t You are all about … rely on you and your expertise to guide them through complex problems You have a solid grounding in enterprise technology - especially how Data, AI & ML can transform a enterprise organisations You have substantial experience of organisational growth, development, transformation - preferably in a fast-moving tech company Past or current experience more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos 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 accessible and in making data-driven decisions. Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour more »

Levy Search are seeking an exceptional engineering leader to manage a team of talented Machine Learning engineers focused on delivering state-of-the-art LLM, speech, and multimodal technologies to production. This role thrives in a dynamic, fast-paced environment, working closely with cross-functional teams to optimize … class engineering team from the ground up. Responsibilities Deliver advanced LLM, speech, and multimodal technologies to production in collaboration with product, compiler, platform, and ML research teams. Develop and maintain robust training and inference methods for productization. Create and manage application code for evaluations on various benchmarks. Enhance developer productivity more »

demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring more »

tools and data modelling. The scope for this role is wide, with the aim to drive end to end business transformations, cloud technology, and machine learning capabilities. There will be three main work streams; migrating from PowerBi to Qliksense, automation to reduce the reliance on support teams and more »

Business oriented, operationally focused, and familiar with new technologies, with a familiarity of, and a curiosity for, topics such as ad tech, AI, and machine learning. • Able to work autonomously in a fast moving, complex and ever-changing environment, and prioritise work tasks effectively. • Strong communicator, able to explain more »

Large Language Models. -High level programming skills in languages such as Java, C/C++, R & Python. -Knowledge and experience of SOA NLP APIs & ML/Deep Learning frameworks. -Experience translating user requirements into workflow designs/specifications. -Skilled in constructing and refining data processing pipelines including workflow management … NoSQL). -Experience with cloud native technologies such as Docker & Kubernetes. -Knowledge of cloud environments (AWS preferred). Preferred requirements: -Experience with AI/ML applied to the Life Sciences. -Understanding of data management techniques for large-scale scientific data sets. -Experience with graph databases. more »

Machine Learning Engineer - Space & AgTech Start-Up - up to £80,000 base + Equity Location: London - 1 day every 2 weeks One of our clients in the Agriculture Technology space is on the lookout for a Machine Learning Engineer to join their ranks. As a Machine Learning Engineer, you will have a research element as well as being responsible for the Machine Learning models, fine tuning them and getting the most out of them for the company. They are a Pre-Seed company with good runway and they will be achieving their … Seed round at the end of this year so getting in at this stage within a Machine Learning Engineer capacity will put you in a good position from an equity stand point. Also joining as a Machine Learning Engineer at this stage, you will get an more »

field ** OVERVIEW One of the most established and innovative Machine Learning Research Labs in the UK are hiring for an AI/ML Researcher. This innovation hub sits within one of the world's largest tech & manufacturing brands and is a great career opportunity for an AI Researcher … as an AI/Machine Learning Researcher will include but not be limited to: Work within a strong team of AI/ML Researchers, on prototypes that will ultimately make a huge impact on the business. Explaining key research projects and concepts to internal business stakeholders. Deliver cutting … edge AI/ML resarch work within a strong team to drive innovation within the company. YOUR SKILLS & EXPERIENCE Strong academic background in a relevant field (Statistics, Computer Science, etc.) - PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of AI , machine learning more »

As a Senior Data Scientist at Hartree, you will play a pivotal role in shaping our data strategy and driving the development of advanced machine learning models, optimization and time series forecasting solutions, specifically focused on the European Power Markets. You will collaborate with cross-functional teams to … extract valuable insights. Model Development: Build models for fundamental market drivers, namely power demand, wind/solar/hydro production etc. using cutting-edge machine learning models. Continuously improve these models based on real-time data and feedback from trading activities. Framework Development: Contribute to large scale machine … and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and more »

had sustained success and have committed significant resource to build their acclaimed quant and tech team. The business blend discretionary and systematic approaches, including machine learning, so they are looking for a developer who has experience building fast UI for (ideally) trading engines/systems. This would suit … built a cutting edge core trading system. They are working directly with the quant and portfolio management teams to build trading tools and applying machine learning technology and approaches throughout the investment process. This role will be broad in nature and involve working on a range of different more »

had sustained success and have committed significant resource to build their acclaimed quant and tech team. The business blend discretionary and systematic approaches, including machine learning, so they are looking for a developer who has experience working large data sets in either discretionary or systematic trading environments. This … projects, including building out their proprietary core trading system, working directly with the quant and portfolio management team to build trading tools, and applying machine learning technology and approaches throughout the investment process. The role will involve working directly with quant analysts to develop software and tools to … and Data teams are both working in Python, with the core system in C#, so they are looking for developers who have a core learning and ability in these languages. Outstanding candidates currently working with a C-Style language (C#, C++, Java, Go etc) will be considered. Furthermore, experience more »

and CI/CD tooling. Ability to thrive in a fast-paced, rapidly changing environment such as Start ups/scale ups. Experience with machine learning or enterprise integrations is a plus. If you're passionate about pioneering transformative technology, join us on this exciting journey more »

and Azure Data Lake. Programming skills in Python, PySpark, and T-SQL. Nice to haves: Familiarity with broader Azure Data Solutions, such as Azure ML Studio. Previous experience with Azure DevOps and knowledge of CI/CD practices. more »

and implementation. Deep understanding of both real-time processing and asynchronous analytics systems Experience in statistical sequence mining and analysis methods Experience in distributed machine learning systems design and deployment Understanding of distributed domain driven architecture and product thinking Technical Skills Architecture & Design Enterprise Architecture and good knowledge more »

development space. YOU MUST Strong back end development experience with NodeJs Experience with Javascript technologies MUST Have experience within Fintech Have strong AI/ML development experience for financial services applications If you have rewritten trading platform programming then that is something that would be of interest to the client more »

Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub … and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML more »

develop the Linux runtime for Fractile’s innovative AI acceleration hardware Develop highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology Support and develop more junior colleagues You have: Strong experience of the development of Linux … Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment more »

will therefore operate closely with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data … on positioning in the market. Supporting the operational and Career Management of Data science consultants Coaching and mentoring colleagues’ performance and development. Facilitating own learning and specialist subject matter knowledge whilst supporting the team to further develop their technical knowledge and consulting skills within the practice. What skills and more »