1 to 25 of 30 Machine Learning Jobs in Central London

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 »

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 »

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 »

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 »

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information more »

Azure RBAC, network topologies, security principles, firewalls and technical problem solving. Experience working within an Agile framework, Jira and Servicenow. Hands on experience with machine and application management with InTune. Strong understanding of CI/CD Pipelines in a globally distributed environment using Git, Jenkins, Docker registry, etc. Hands … azure cloud based services in a continuous delivery using IAC toolset such as Terraform, Bicep and ARM. Knowledge on Hashicorp packer to build automated machine images in Azure. Experience with implementing an API architecture using Azure API Management , including advanced knowledge on services like Azure API Gateway, Azure Logic … the financial services industry and their IT systems. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Networking People (UK) is acting as an Employment Business in relation to this vacancy. 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 »

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 You have experience with RESTful APIs, messaging, event 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 »

client has quickly developed a global portfolio of clients across supermajors, E&Ps, national oil companies, investment banks and governments. They combine the latest machine learning and AI technology, supported by deep industry expertise, to provide market solutions. Great opportunity to have a major impact in my client more »

on budgeting and profit & loss analysis to ensure financial accuracy and efficiency. You will also have the opportunity to look into leveraging AI and ML to further optimise data analysis and drive innovation. You will constantly look for opportunities for improvement, including automating processes wherever possible. This role would be 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 »

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 »

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 »

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 »

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 »

demand. The stack covers many technologies (front-end, backend, edge-computing), and you will be responsible for the backend stack and its features. Deploying machine learning models to production Building edge applications Ensure the system can scale and have full observability Optimizing the platform runtime for maximum performance 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 »

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 »

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 »

have experience in any of these areas, we encourage you to apply: Fullstack, Front End, Back End, Python, AWS, React, JavaScript, Golang, Generative AI, Machine Learning, startups, supply chain, logistics, delivery networks. Contact Interested candidates are encouraged to apply by emailing 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 »

minimum of $2-5 million consistently meeting and exceeding quota Industry expertise either in technology services such as technology consulting, business intelligence sales, AI, machine learning, or big data An existing network of potential clients Ability to demonstrate strategic thinking and problem-solving that enable you to understand 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 »

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 »