101 to 125 of 491 Permanent Machine Learning Jobs in London

disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in … daily basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine-learning platform. Location: Central London– 3 days in office/2 days remote Salary: £30,000 – £32,000 + healthcare, pension etc. Requirements … industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity to support projects on a machine-learning platform A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to 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 »

working as a Customer Support Engineer. Offering excellent training, career progression, and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. On a daily basis, you will be working as the first response to customer issues, triaging problems, and liaising with … a team Great communication skills with fluent spoken and written English Responsibilities for Customer Support Engineer You will initially be fully trained on the machine learning platform to understand the intricacies of the product You will then act as the main point of contact and liaise with customers … the job-board, full details for contact are available on our website). Keywords: Technical Support, Product Support, Customer, Client, Requirement gathering, Project management, machine-learning, Information Technology, Technical Support Specialist, Software Support Engineer, Customer Support Engineer, Application Support Analyst, Help Desk Engineer, IT Support Engineer, Systems Support more »

Market ads, eh? In 2020, this 1,000-person consultancy, which covers pensions, football, energy, and insurance, launched a new insurance product that combined machine learning with cutting-edge analytics for the first time. Four years later, companies like Lloyds of London and the Bank of England described … cool projects. The team will grow, and you can shape your career however you like, which could be getting involved on the data science, machine learning and Python side or simply moving up – There are many paths and a key reason why their people often stay there … re driven and analytical and thrive on solving challenging problems. Bonus points if you have strong mathematics skills and interest or experience in Python, machine learning or data science. HOW TO APPLY: Either apply here or search for Simon Monaghan on LinkedIn; contact details are at the top more »

Market ads, eh? In 2020, this 1,000-person consultancy, which covers pensions, football, energy, and insurance, launched a new insurance product that combined machine learning with cutting-edge analytics for the first time. Four years later, companies like Lloyds of London and the Bank of England described … cool projects. The team will grow, and you can shape your career however you like, which could be getting involved on the data science, machine learning and Python side or simply moving up – There are many paths and a key reason why their people often stay there … re driven and analytical and thrive on solving challenging problems. Bonus points if you have strong mathematics skills and interest or experience in Python, machine learning or data science. HOW TO APPLY: Either apply here or search for Simon Monaghan on LinkedIn; contact details are at the top more »

you will be tasked with leading a high-performing TA team who are looking to engage with the top percentile of Computer Vision Scientists, Machine Learning Engineers, Research and Software Engineers. We recognise how challenging this current job market is for candidates, and Hawkwood are therefore striving to … advising and guiding salary and total comp packages. What we're looking for: Strong track record of hiring the top percentile of Research Science, Machine Learning, Software Engineering and Product talent at all levels. Experience working within a deeply technical environment (Computer Vision Scientists, Machine Learning more »

Liquidity Group operates globally with offices in Tel-Aviv, Abu Dhabi, New York, London, Singapore, Tokyo, Mumbai, Boston & San Francisco. The firm’s patented machine learning and decision science technology enables it to deploy more capital through more deals faster than any firm in capital markets history, establishing … leading end-to-end deal cycles, while gaining exposure to a variety of different products and client verticals. As a Director, you'll spearhead machine-learning-assisted growth funding initiatives within our globally expanding team. The position offers oversight of the entire deal cycle, providing exposure to diverse … to raise capital, you’ll be enabling tech companies to fulfill their growth potential. You will: Lead the end-to-end deal cycle, leveraging machine-learning tools to drive efficient and effective growth funding solutions Structure deals and negotiate potential transactions Prepare investment reports and deliver presentations to more »

lead the development and implementation of an AI ethical framework and governance. The successful candidate will ensure that our use of artificial intelligence and machine learning technologies aligns with regulatory requirements, ethical standards, and industry best practices. Key Responsibilities: Stay updated on emerging trends, technologies, and regulatory landscapes … Experience & Skills: Proven track record in AI ethics, with a comprehensive understanding of ethical principles, regulatory requirements, and best practices. Familiarity with AI and machine learning technologies. Experience navigating regulatory frameworks such as EU Act and GDPR, with a commitment to compliance and data protection. Join us in … You'll have the opportunity to actively contribute to the development and execution of ethical frameworks that guide the use of artificial intelligence and machine learning technologies. Your expertise and dedication will play a crucial role in ensuring that our practices align with regulatory requirements, ethical standards, and more »

Role: Senior ML Engineer 💸Salary: up to $85,000 🏁Sector: B2C Mobile App 📍Location: Remote (UK, Germany, Italy, Spain or Portugal) Join one of the fastest growing consumer businesses in Europe who have built a nutritional app with a global reach of millions of users. We're on the lookout … for a Senior ML Engineer to be responsible for integrating machine learning into their platform. This role is crying out for someone who wants a blank canvass, and play a key role in setting up tools, processes, monitoring and scouting out where to apply ML. Core responsibilities will … current data (they have a strong team of data engineers and data analysts), and scope out where models can be applied, set out how ML will be evaluated and monitored. Looking for: A minimum of 3 years' hands-on experience as an ML Engineer Demonstrated track record of driving the more »

Machine Learning Engineer Up to £65,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. The Role: Your day-to-day responsibilities will include … the Head of Data Science - working closely with a wider Engineering function Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps Your Skills and Experience: MSc or PhD level education … in STEM subjects. Strong experience in data pipelines and deploying ML models Preference for experience in retail/marketing Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below more »

London Inside IR35 Our client is seeking an interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading … Provide strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends … and partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative more »

prediction targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machine learning more »

Analyse the data from our on-truck measurement system Process and visualise large datasets suitable for presentation to our customers Implement first-principle and machine learning based methods Support the backend team in deploying to AWS Apply signal processing techniques to reduce noise and improve algorithm performance Required … 5+ years of Python programming experience with focus on data manipulation and analysis 3+ years working with large datasets performing clustering, classification, and regression machine learning or deep learning 3+ years using SQL to query large datasets Excellent documentation and data presentation skills Experience communicating highly technical more »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering more »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Qualifications Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker Experience in DevOps, Cloud Operations, ML more »

and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

frameworks essential to the expansive quant trading operations. This presents an exciting opportunity for a Software Engineer to collaborate closely with Data Scientists and ML researchers in architecting, designing, and building the organisation's evolving ML infrastructure. The ideal candidate for this role should possess over 5 years of experience … as a backend Software Engineer, with a solid background in Python and Kubernetes with expertise in deploying ML models. Responsibilities: Design, build, and maintain multiple backend applications and frameworks crucial for quants and traders. Contribute to future plans and roadmaps, emphasising the development of flexible, scalable, and well-designed systems. … Collaborate closely with Data Scientists, ML researchers, and fellow developers to architect, design, construct, and maintain the constantly evolving ML infrastructure. Requirements: Over 5 years of experience as a backend Software Engineer. Strong desire for Machine Learning Infrastructure experience or prior involvement in the field. Proficiency in Python. 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 »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … an office based in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team … Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity with web development (Fast more »

SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions … them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise … operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe more »

Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform … a commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within … below and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary more »

people are our greatest asset and are core to our business’ continued growth ambition. As such, we are passionate about providing varied and extensive learning and development opportunities, empowering our consultants to grow and progress with us at a pace that matches that ambition. Our Commitment to Equality, Diversity … Role : Assist in collecting, cleaning, and pre-processing data for analysis. Perform exploratory data analysis to uncover patterns, trends, and insights. Develop and implement machine learning models for predictive analytics and pattern recognition. Collaborate with our strategic advisors, cross-industry leaders and business development teams to identify business … our approach to data enabled market insights and contribute to our future growth of the UK business, gaining hands-on experience in data analysis, machine learning, statistical modelling, and data visualization. This apprenticeship offers a unique opportunity to combine academic learning with practical work experience, preparing you more »

Develop the Linux runtime for Fractile’s innovative AI acceleration hardware Implement highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of the development of Linux device drivers A good understanding of … Electronic Engineering, Maths, Physics, or related degree and 3+ 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 »

+ 15% bonus ✅ Must have requirements: 1-2 years of experience at a Senior Machine Learning Engineer level, delivering end-to-end ML solutions Experience working on forecast, time series, regression & risk models and driving those into production Exposure to GCP/Vertex AI Very strong Python skills more »

and Insights: Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous … client engagement Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points … for: Experience implementing Machine Learning models and familiarity with large language models. Knowledge of cloud-based solutions on major providers (Azure, GCP, AWS). Familiarity with collaborative software tools such as Git and Jira. Proficiency in user interface applications like React and JavaScript. Domain expertise in pricing, demand more »