1 to 25 of 402 Machine Learning Jobs in the UK with Remote Work Options

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities 1.Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … high level of proficiency in SQL and Python. A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

expertise to address some of the most challenging problems in business and industry? * Are you excited to design and build solutions in data science, machine learning, optimisation, forecasting and analytics for high-profile clients across a diverse range of sectors? * Would you like to join a team of 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 »

Be the technical SME for the application of Data Analytics Experience required: Experience using SQL & 1 other programming language (R/Python) Experience using ML algorithms is preferred Proven experience scoping and delivering complex analytical projects Data visualization/regression/data storytelling ... more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with more »

that all business activities are aligned within the context of the strategy framework. This will include monitoring and assessing new technology (such as AI, Machine Learning, and Automation) and other advances to drive efficiencies and innovation. The role will ensure a close relationship with the business to assist more »

and security controls and protocols across their assets and SDLC. With a focus on data risk management and privacy compliance, Zendata's solutions utilize machine learning and natural language processing to analyze processes in real-time and ensure regulatory threats and fines are avoided. Their platforms provide global … presenting at industry conferences. Preferred Qualifications: Professional certifications, such as CIPP (Certified Information Privacy Professional) or CIPT (Certified Information Privacy Technologist). Experience with machine learning and data analytics in the context of privacy. Knowledge of secure software development practices and privacy by design principles. Familiarity with cloud more »

Innovation Product Owner/Product Manager (Data) - Tech Scale Up - London Join the forefront of data innovation! Our client, a leading figure in the realm of data, is on the hunt for a dynamic Product Manager/Product Owner with more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

a bank or fintech startup. Previous experience mentoring/managing more junior analysts. Strong analytical skills, with proficiency in SQL. Experience leveraging automation and machine learning to tackle fraud and AML. Well-versed in implementing and enhancing security measures. The ability to work and collaborate with other members more »

R or Python and Earmix Have built and worked with pricing models such as generalised linear models (GLMs), gradient boosting models (GBMs) and other machine learning algorithms Have experience projecting loss ratios to ultimate Know the benefits of price optimisation and how to use it in practice Understand … Insurance Up to 13 weeks of parental leave at full pay, regardless of your gender Flexible working hours Annual personal training allowance and regular learning opportunities Monthly flexible wellbeing allowance to help you stay healthy and productive Access to Employee Assistance Program It goes without saying that we provide … people based across the US, UK and the Netherlands, we value: Generosity, inclusivity, open-mindedness and diversity The delivery of great results and learning in the open Freedom to make long-term, high-impact decisions The wellbeing of our teammates and the people around us And... Enjoying the ride more »

remainder of the week remotely if preferred. About the Company: Our client is dedicated to combating fraud and enhancing customer authentication using cutting-edge machine learning technology. Their innovative solutions provide real-time caller risk assessments, improving customer experience and preventing fraud. They partner with major organizations to more »

a ReactJS front end, hosted on AWS. There's extensive greenfield developement ongoing with opportunities to work in areas such as graph theory and machine learning. As the team is taking shape, they're interested in hiring backend weighted and fullstack engineers. The team practice engineering best practices, pair more »

Lead Machine Learning Engineer up to £115 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an ambitious … 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 more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … level of proficiency in SQL and Python . A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra more »

transform, and standardize data from various sources as well as optimise the performance of Spark applications. Work closely with data scientists, software engineers, and machine learning experts to enhance the data platform and contribute to the development of cloud-based solutions (ideally in Google Cloud Platform, but experience 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 »

Machine Learning Engineer up to £75 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an ambitious team. … through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. The Role: As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning … SKILLS AND EXPERIENCE: You need to have a MSc or PhD level in Stem subject. You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka more »

the development and implementation of machine learning models that enhance the firm’s data analysis capabilities. You will manage a team of ML Engineers and Data Scientists, working closely with various departments to integrate advanced data-driven solutions that drive business insights and operational efficiencies. Key Responsibilities: Lead … cloud-based machine learning and data storage solutions. Oversee cloud infrastructure and ensure robust, scalable solutions. Manage and mentor a team of ML Engineers and Data Scientists. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Stay updated with the latest advancements … years of industry experience in a related role. Experience working in a start-up or small team environment. Proven experience managing teams of ML Engineers and Data Scientists. Strong technical proficiency in Python, SQL, and Excel. Experience with data visualization tools such as PowerBI or Tableau. Familiarity with web development more »

Leading ecommerce client now requires a Data Engineer to join their innovative Machine Learning team. This role will focus on increasing overall data efficiency using Machine Leaning, streamlining data processes to increase overall profitability, and ensuring our clients operations and customer teams … can increase overall value. They are searching for someone with strong exposure to Machine learning principles/practices and technologies such as ML flow/Sage Maker. The role: Develop robust and scalable data pipelines. Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities. Contribute to the development of our clients in-house Machine Learning operations framework. Support the data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on more »

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. … Experience Requirements: Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools more »

the seamless delivery of our innovative products. This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs. Requirements You have: Excellent problem-solving and technical skills Experience in building platforms with custom deployment models Structured … Bonus: Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Benefits Competitive salary Opportunities to work on groundbreaking NLP & AI-related projects Remote working (Remote must be within more »

tools, including Microsoft Azure and Power BI. You will manage a team of Power BI developers and data engineers, and foster a culture of learning, collaboration, and innovation. Key Focus Areas Business Partnering: You will act as a trusted advisor to the Finance department and other business units, understanding … Experience in implementing data security and governance solutions, such as row-level security, data classification, data masking, etc. Experience turning Machine Learning (ML) into an API would be a benefit. A certification in Microsoft Power BI or other relevant credentials is a plus. This job is a good … are part of A.S. Watson Group, the world's largest international health and beauty retailer with over 15,700 stores in 25 markets! Unrivalled Learning and Development programmes Come and be part of something special. Hours : 37.5 | 9.00am - 5.30pm - Hybrid working available depending on role responsibilities with 2 days more »