1 to 25 of 31 Machine Learning Jobs in Central London

Machine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer ? You can make a real difference in healthcare! A Machine Learning Engineer is needed to join a rapidly growing team at a leading MedTech … firm. The company specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will: Build and deploy AI models to predict and prevent critical diseases Collaborate with engineers and scientists to develop cutting-edge solutions Continuously learn and … deep learning techniques Be an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep Neural Networks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore and implement state-of-the more »

Centre of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows and revolutionize service delivery. The role aims to … the company into a technology-driven powerhouse by fostering innovation and driving business growth. Key Responsibilities: Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with overall business objectives and tech enablement goals. Build and lead a high-performing, cross-functional team of … ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful projects. Ensure data security more »

provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is applied to both structured and unstructured data sets Key Actions Play a leading role in the development and design … support junior data science team members and oversee all activities ensuring alignment with departmental and business-wide vision and strategies Scope, design, and implement machine learning models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live … data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques Draft regular reports for senior management on departmental performance and present recommended models and departmental strategies for approval Maintain a deep more »

Machine Learning Scientist Location: London/1 day per week from home Salary: Circa 140K 165K + Benefits Machine Learning Scientist required by fast-growing, Top Tech Company building state-of-the-art deep learning models! This is a varied, challenging role where youll lead … the development and ownership of pioneering research projects in categorical deep learning, from conceptualisation to execution Essential: PhD in Computer Science, Mathematics, or similar discipline At least 2yrs of industrial or academic work post PhD Proven track record of research published in top-tier conferences (e.g. NeurIPS, ICML, ICLR … architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel machine learning architectures Tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where youll be able significant contributions to more »

synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with … implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. more »

with millions of users per day. As a Lead Backend Software Engineer you'll join a cross functional team, collaborating with Data Scientists and Machine Learning Engineers as the business seeks to introduce cutting edge AI technology. You'll design and implement the underlying application layer to expose … AI concepts such as LLM, OpenAI, Hugging Face, Vision, multi-modal, embedding models, similarity search, dense vector persistence as well as an understanding of Machine Learning concepts - you may have an relevant MSc, contribute to blogs, attend conferences and events, commercial experience is valued but not essential You more »

I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a Machine Learning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working with more »

will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying Machine Learning models to production and optimising the platform runtime performance, this is mainly in C++ with parts running on GPU. There's a … Patterns You have advanced level C++ skills (they're using C++20) including multithreading You have also have strong Python skills and experience of integrating Machine Learning models (using PyTorch) It would be advantageous to have experience with Edge/IoT computing You're keen to work in s more »

strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to analyse large data sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills … record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical analysis, machine learning, and data manipulation. Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative, fast-paced environment. Strong more »

first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of Dr … analysis Experience handling missing data and imputation Experience within a research environment and publication in relevant and refereed journals Knowledge of Multivariate Statistics and Machine Learning Knowledge of Network Analysis for omics data Further information The post is full-time and fixed term until May 2026 and you more »

generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined more »

through innovative threat intelligence, data analytics, and the development and maintenance of integrations to streamline security operations. The position embodies a philosophy of perpetual learning and is tasked with ensuring Fortrea remains at the forefront of cybersecurity innovation, with a special focus on the evolving landscape of Google Chronicle. … Qualifications Include: Master's degree in Cybersecurity, Computer Science, or related field preferred Advanced certifications such as CISSP, CISM, OSCP, and GWAPT. Experience with machine learning and AI-based vulnerability detection methods. A record of public speaking or publishing on advanced cybersecurity topics. Exceptional interpersonal skills, including effective more »

Work closely with senior development and DevOps team members to architect optimal solutions for data processing and platform delivery. Integrate and adopt AI/ML tools in collaboration with Data Science and Data Engineering teams. Mentor junior team members and review code outputs to ensure quality and adherence to coding 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 »

the expedition of their new product launch. They offer a fantastic progression plan and brilliant training. They are currently researching the benefits of AI & ML in the Finance sector and plan to start work commercially later in 2024. Could you be the one implementing AI in the Fintech space? You more »

of our users. As a senior full stack engineer, you will lead the design and development of products that are based on proprietary statistics, machine learning, optimisation, and AI methods and that are of strategic importance to the firm. You will partner with our product managers, researchers, and more »

on-premise. Developing software products. Experience with EKS, Kubernetes, OpenSearch/ElasticSearch, MongoDB, Spark or NiFi. Experience with microservices architectures. Experience with AI/ML systems TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly to For further information please call me on more »

company-paid private Dental & Vision insurance + Flexible PTO & Sick Policy This is an excellent opportunity for a C++ Engineer with good Python, ML & Edge Computing experience to join an exciting startup offering a high responsibility role into the backend stack of their technology. You will be working with ex … for latency and memory. They will have experience using various profiling tools to optimise code, experience with Docker & CI/CD pipelines & have interfaced ML models. It is beneficial if the candidate also has experience with Edge/IoT computing and previous video processing experience such as GStreamer. This is … changing startup! The Role: * Writing production software in C++ and Python * Experience using profiling tools * Experience with Docker & CI/CD pipelines * Edge Computing, ML model interfacing The Person: * Strong C++ & Python experience * Profiling tools & ML Model interfacing experience * Docker & Edge/IoT computing * Engineering excellence and aptitude working for more »

recruitment team members on using AI tools effectively. Qualifications: - Currently pursuing a degree in computer science, data science, or a related field. - Familiarity with machine learning algorithms and AI technologies. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part more »

based analysis to meet business needs. * Training and supporting Power BI users, working with stakeholders to define data requirements and KPIs. * Using AI and machine learning to improve data processes, extract insights, and drive innovation. Role Requirements: * Proven experience in designing and developing Power BI solutions. * Advanced skills … and budgeting. * Excellent communication and presentation skills, with a focus on customer service. * Patience and persistence for staying motivated, even when facing setbacks. * Quick learning ability and a strong commitment to delivering exceptional service. * Keen attention to detail and accuracy in all aspects of work. * Experience thriving in a more »

Data Solutions for firms in their chosen target markets. Using innovative technologies, they deliver data pipelines, cloud data architectures, advanced analytical and AI/ML solutions. We are looking for ambitious and self-motivated sales professional with a passion for helping customers achieve more with Data, Analytics and AI. You … to understand complex data environments and articulate the value proposition of our solutions effectively. Technological Proficiency: Familiarity with the latest trends in data analytics, machine learning, and business intelligence tools. Exceptional Communication Skills: Excellent verbal and written communication skills, with the ability to engage effectively with diverse stakeholders. more »

AWS/GCP We are currently looking for a Python Developer to join a global digital marketing company who through the use of their machine learning technology, are able to build specialist teams around their clients with world class innovation. The Tech Stack: Python, Django, Kubernetes, AWS/ more »

have experience in any of these areas, we encourage you to apply: Fullstack, Front End, Back End, Python, AWS, C++, React, JavaScript, Generative AI, Machine Learning, Video Technology, Startups. TEC Partners is committed to creating a diverse environment and is proud to be an equal opportunity employer. All more »

economic experience to design and execute pricing strategies Work closely with technical teams to build and fine-tune pricing algorithms Use statistical modelling and machine learning to create predictive pricing models Conduct thorough cost-benefit analyses, shaping pricing decisions to maximise overall value for the company Collaborate closely more »

futures curves and/or cross-market relationships Highly Valued Relevant Experience Experience in quantitative, econometrics, asset pricing, or macro sub-fields Experience with machine learning, statistical techniques and related libraries more »