101 to 125 of 596 Machine Learning Jobs in London

our clients over a consistent period, the team are keen to find another great Recruiter to continue our position as a leader of the Machine Learning, AI & Data Engineering Recruitment space. Data Science and Machine Learning Recruitment at Xcede Data Science has long been a flagship more »

Machine Learning, Artificial Intelligence and a fresh approach to physical security. Not the kind that asks you for identification, but the kind that has been widely underutilised and if you’ve ever seen Crimewatch, neglected by many organisations. You will be working with a team of engineers spread … and opportunity. Being an IoT start-up, you’ll have a direct impact on multiple areas of the product lifecycle. Whether you’re deploying learning models or developing new features for telemetry, you will be making a difference. The codebase here is largely written in C++ and will certainly … of experience levels. The salary on offer is up to £120k. Interested in joining a start-up with some of the industry leaders in ML/AI? Get in touch. No up-to-date CV required. 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 »

exciting company that has developed an advanced AI platform to support construction and engineering projects across the UK and EU. ROLE: Create and implement Machine Learning and Computer Vision models, using 3D data, meshes, point clouds and LIDAR Working as part of a team of 4 Deploy models more »

solutions. Manage capacity for cyber platforms proactively. Design data structures for Cyber logs, reports, and incidents to align with digitization strategies, incorporating AI and ML where appropriate. Apply agile and DevOps methodologies as necessary. Develop and implement comprehensive cyber defence policies, procedures, and operational processes. Collaborate with the wider team more »

long- term success. What else? They operate on the big-data side of AI, tackling the unsolved problem of distributed AI. They have some ML as a Service, tackling the ML Ops loop as a service, interesting challenge. They are going to enable edge AI, another pioneering aspect. Tech stack 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 »

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 »

Founding Machine Learning Engineer - Fine Tuning Expertise required. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in AI, who have worked for the biggest names, who work … automated fine-tuning framework that can scale to the next order of magnitude of training runs. Experience in creating/managing HPC clusters for ML models and efficiently serving large ML models at scale is a huge bonus. Required Credentials: Master's degree as a minimum, ideally a PhD Released … a l eading AI research laboratory, or a pioneering AI business Key Requirements: Fine Tuning Expert Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems 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 »

cloud Experience of greenfield Data Warehouse implementations, including Data Architecture principles Knowledge of data science concepts and ability to promote solutions to production via machine learning engineering Hands-on knowledge of NoSQL and relational Databases, alongside relevant data modelling techniques ETL/ELT tooling Knowledge of DBT, Luigi … CI/CD, test automation, e2e testing Experience of streaming data technologies Development on highly-scalable, highly-available applications with large datasets Experience of machine learning engineering tools on GCP Micro-services and containerised computing more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »

our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to more »

Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. more »

architecture definition, performance evaluation, and product design and verification Enable early software development using models of products in development Work with hardware, software, and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of pre-silicon modelling of semiconductor IP covering one or more … fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Knowledge of machine learning techniques and technologies Previous experience in a startup or small team environment 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 »

architecture definition, performance evaluation, and product design and verification Enable early software development using models of products in development Work with hardware, software, and ML engineers in a highly collaborative hardware-software co-design methodology Contribute to the definition of business-wide modelling requirements and strategy Support and develop more … fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Knowledge of machine learning techniques and technologies Previous experience in a startup or small team environment 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 »

modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and more »

into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data science Requirements: Essential … record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling and forecasting Exposure to Cloud Environments like GCP or AWS … Knowledge of Bash, Unix, and version control systems like Git Understanding of Object-Oriented Programming principles About Us: Our client, founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve 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 »

Our clients in the Pharmaceutical Manufacturing industry are looking for a motivated Machine Learning Operations Engineer to join their UK team. As a Machine Learning Engineer, you will play a crucial role in taking AI models from scientific research to production, ensuring seamless integration and scalability. … skillset of our existing team by sharing best practices, conducting workshops, and fostering a culture of continuous learning. Infrastructure as Code (IaC) with Azure ML and Terraform: Leverage Azure Machine Learning services and Terraform to build scalable and reproducible ML infrastructure. Automate deployment, configuration, and management of ML … Qualifications: 5+ years' experience as a Machine Learning Engineer Proven experience using Azure and Terraform to build, deploy, and manage high-quality ML models Must be well-versed in Infrastructure as Code (IaC) Experience implementing the core principles of ML Ops: Version control, automation, continuous X and model more »

Senior Machine Learning Engineer Paying up to £110,000 Hybrid in London High-performing AI Start-up La Fosse is currently working with a cutting-edge artificial intelligence and cyber security start-up company specialising in AI for binary analysis, who are looking to hire a talented Senior … language model (LLM) binary code embeddings and research new methods using graph-based models for segment classification. Key Responsibilities: Implement state-of-the-art ML techniques and integrate them into our product pipeline. Develop and refine foundational LLM binary code embeddings. Research and innovate new methods using graph-based models … Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines and deploying AI models to cloud service providers is preferred. Ideally 3-5 years experience in a similar role. If this role sounds of more »

cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. Qualifications Degree in Computer Science, Engineering, or related field. Excellent communication skills, adept at more »