101 to 125 of 179 Machine Learning Jobs in London with Remote Work Options

models, measurement and reporting Opportunity to contribute to new & existing business pitches We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience more »

s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. This is an exciting opportunity whereby you will have the opportunity to successfully deliver a number of neo banks. As more »

ideally Windows Azure Bachelor's degree or equivalent experience in Computer Science or related field Desirable Skills or Exposure AI and Large Language Models Machine Learning Big Data The Package Salary £55-65K per annum (depending on experience). Remote & Physical Office (usually 1 day per week more »

attention to detail. Ability to thrive in a collaborative, fast-paced start-up environment. Preferred Qualifications: Experience in data science and/or with machine learning techniques. Interest in AI and its applications within supply chain Academic background in supply chain or similar field. Experience working with APIs. more »

specific expertise in relation to the collection and use of data in online advertising and adtech, fraud prevention data, fan data, sports betting data, machine learning and artificial intelligence. More broadly, the team helps clients manage privacy, reduce development costs and maximise the potential of data, with a more »

set About you Academic background in Computer Science, Maths or similar STEM discipline, ideally to Masters of PhD level Experience of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design more »

Skills and Experience – Nice to Haves · Experience in site reliability engineering · Experience with event-driven systems · Experience in building web services on AI/ML models Please send your CV to chris.shephard@areti.io or DM me for more information on the role. There is a quick 2 stage interview process more »

this data availableforother stakeholders acrossthe business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity pricing) is a more »

with proven expertise across various industries and technologies to lead our data science and machine learning initiatives. As a Data Science and ML Leader, you'll be at the forefront of innovation, leveraging your diverse skillset in data engineering, data science, and web development to tackle complex commercial more »

and sustainable solutions for the world’s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering, AI, Machine Learning and Blockchain. As the Senior Programme Director you will join the Delivery Management practice, to own and oversee the strategy and execution more »

Google Cloud (GCP) GCP BigQuery Python DBT or similar FastAPI or similar Airflow or similar Desirable: Google Apigee (as an application developer) Exposure to Machine Learning projects Exposure to DataOps Exposure to dataproc or similar more »

in Power Platform are a plus. Preferred Skills: Microsoft Certified: Power Platform Solution Architect Expert. Experience with Power Virtual Agents. Knowledge of AI and machine learning concepts within Power Platform. What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free more »

Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning etc. Desirable Demonstrable experience of creating and maintaining reporting systems Qualifications Essential Educated to degree level in relevant discipline, or equivalent. Formal more »

and non-relational data stores, APIs, Google Drive, event delivery pipelines), into a single persistent storage solution that enables everything from simple reporting to ML-backed products You’ll identify, design and implement data process improvements covering the full spectrum of the data engineering practices, including platform engineering and data more »

Software ... Forsyth Barnes Data Science recruitment team is working with a top FMCG organization to find an experienced Data Science Manager to lead ML initiatives for impactful Personalizatio ... Delivery Manager - OTC Location: London - Hybrid ModelDay Rate: £550IR35 Status: OutsideContact: simon.wilkinson@forsythbarnes.com Forsyth Barnes have ... Title: Global Head more »

Salary: £80,000 per annum Role Overview: We are on the lookout for an AI Specialist Developer with a deep understanding of C++, Python, Machine Learning, Large Language Models (LLM), and Audio AI. Your primary role will be to enhance our existing Music Recognition Technology (MRT) using our advanced ML testing systems. Additionally, you will lead the groundbreaking project focused on developing live-music recognition technology. Key Responsibilities: Lead the enhancement of our current MRT … technology, integrating AI capabilities to improve accuracy and efficiency. Utilise expertise in C++, Python, ML, LLM, and Audio AI to innovate and implement new features. Drive the research and development project aimed at creating state-of-the-art live-music recognition technology. Collaborate with cross-functional teams to ensure the more »

per annum + Bonus Location: Hybrid (London) Are you ready to join an energetic team of Data Scientists dedicated to creating impactful, commercially viable machine-learning models within the healthcare sector? ABOUT THE ROLE: As a key member of our team: You will collaborate closely to develop and more »

field. Proficiency in handling behavioural data and modeling. Prior experience in the Health/Pharma industry or domain knowledge. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively conveying technical concepts to both technical more »

ESXi/Hyper-V/KVM), Linux (Ubuntu) -Python, Java -ActiveMQ, Redis -PostgreSQL, TimescaleDB, NoSQL -Flask, HTML/CSS, Plotly, JavaScript/jQuery, -Simple Machine learning Please note that my client has a couple openings as a Full Stack Developer and the salary is dependant on experice. This more »

How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Data Science, AI, Machine Learning, Computer Vision, SLAM, 3D more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

of various price management models. Create visualisations and dashboards to communicate analysis and model outputs. Collaborate across the business to automate data science and machine learning applications. Actively participate in our data community to build new capabilities. Job requirements: Experience in pricing optimisation and demand forecasting. Analytical skills more »

looking for a Java Developer to join our high profile client.Our client is a 20 man start up who have created a market leading machine learning data analysis product in the financial data market. Details of the full ideas of the company are protected by a Non Disclosure more »

evolve the product to better suit these goals. Explore and research new ideas and how they could be impactful to the business (eg AI, Machine Learning). Responsible for data security and continuity plans for the technology of business. Implement data infrastructure to support the business and decision more »

connectivity techniques to ensure that audience insights can then be fed directly into campaign targeting to drive efficiency and effectiveness. Activation Algorithms – algorithms leveraging machine learning to support the optimisation of campaign activation using a variety of contextual factors to automatically improve bidding and targeting selection to drive more »