1 to 25 of 59 Remote/Hybrid Machine Learning Jobs in the City of London

drive continuous improvement Collaborate cross functionally with product, engineering, and commercial teams Mentor and elevate a high-performing team of data scientists and ML engineers Contribute to AI strategy, including developments in generative AI Experience 6–12 years’ experience in data science, currently operating at Principal level Strong grounding … machine learning fundamentals (supervised learning essential) Proven experience delivering production-grade ML solutions Strong Python and SQL skills Experience with experimentation and data-driven decision making Ability to operate as a hands-on technical leader (not pure management) Advanced degree (Master’s or PhD) in a quantitative ...

clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version … processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks ...

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds … integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

corporate development experience to design, build, and deploy AI‐driven solutions across the deal lifecycle. This role sits at the intersection of advanced machine learning, data engineering, and strategic transactions , supporting high‐impact decisions during acquisitions, integrations, and divestments. You will work closely with investment teams, corporate development … teams to apply AI to due diligence, valuation, synergy modelling, risk analysis, and post‐merger integration. Key Responsibilities Design, build, and deploy AI/ML models to support M&A activities, including: Due diligence automation (financial, commercial, operational, and legal) Target screening and opportunity identification Risk detection and anomaly analysis ...

financial, and operational due diligence Target screening and market analysis Risk and anomaly identification Synergy and value‐creation assessment Analyse and interpret outputs from ML models and LLM‐based tools , ensuring insights are accurate, explainable, and decision‐ready. Work with structured and unstructured data sources including: Financial statements and management … deal value drivers Experience working under deal pressure and tight deadlines . Analytics/AI Strong analytical skills with experience interpreting AI/ML outputs . Hands‐on experience with data analysis tools such as: Python, SQL, Excel BI tools (Power BI, Tableau, or similar) Familiarity with machine learning ...

enabled workflows under tight deal timelines Own solution quality from proof‐of‐concept through to live production and operational handover AI & Advanced Analytics Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as: Commercial and operational due diligence Synergy identification and value … Deep hands‐on expertise with: Python and modern data/AI engineering stacks Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP) Machine learning and/or Generative AI workflows Ability to operate effectively in highly ambiguous, fast‐moving environments with senior stakeholders Commercial & Advisory Skills ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. Working with customers worldwide we help turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we’re looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview Our client ...

Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within … Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage ...

they've built one of the world's most widely used open source data labelling platforms — trusted by over 350,000 data scientists and ML engineers worldwide. Their platform enables enterprises to train, evaluate, and fine-tune AI models using high-quality annotated data, combining powerful software with managed data … company goes to market across the region. You'll run full-cycle enterprise sales processes, selling into technical and senior stakeholders — data scientists, ML engineers, Heads of AI, CTOs, and VP-level buyers. Deal sizes typically range from ~$100k to $120k+, with larger enterprise opportunities up to ~$600k, and sales ...

Python while also having opportunities to gain exposure to additional languages such as Rust and Go. Contributing to the development of a new greenfield machine learning platform and helping shape its technical direction. We are looking for engineers who have: Between 4 and 15 years of professional experience … data environments. Strong experience building production systems using Python. A background in developing scalable backend systems designed for performance and reliability. Any exposure to machine learning systems or MLOps practices would be considered beneficial. Strong collaboration skills and the ability to work effectively within a team of experienced ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice Key requirements Strong background in AI, machine learning or data science Deep experience with LLMs and modern GenAI frameworks Experience designing AI architectures such as RAG and agent-based systems Strong ...

these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. Has experience of using data visualisation tools such as PowerBI Has experience with general ledger/ ...

WILL BRING TO THE TEAM MUST HAVE SKILLS Strong Python engineering skills, writing clean, modular, and production-ready code. Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics. Excellent communication skills, able to explain complex concepts to both technical ...

Software Engineer (Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly ...

communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

mapping them to solution capabilities. Highly comfortable discussing data analytics, forecasting methodologies (e.g., GA4 integration), and API capabilities with IT teams. Strong understanding of machine learning models and their application in demand forecasting and optimization. Proactive problem-solver with a strong ability to diagnose customer needs and propose ...

environment across global teams Nice to Have Degree in Computer Science or a related discipline from a Tier 1 academic group Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks ...

required; advanced university degree preferred. Hands-on experience with AI development platforms (e.g., GitHub Copilot, AWS KIRO, Microsoft Copilot Studio). Strong understanding of ML, LLMs, generative AI, prompt engineering, evaluation, and safe-use patterns. Solid knowledge of software development, system design, API integration, and AI workflows linked to enterprise ...

both strategic and hands-on levels. Desirable: Previous VP Engineering experience. Experience in a scale-up or high-growth environment. Knowledge of AI/ML integration in product development. Familiarity with SOC 2, ISO 27001, and GDPR compliance. Background in SaaS, fintech, or enterprise software. Experience customising Trading Systems (e.g. ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. Working with customers worldwide we help turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we're looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview We are continuing ...

debugging skills. Good to Have Skills Knowledge of AWS Lake Formation , Kafka/Kinesis , Airflow , or Delta/Apache Hudi . Experience with ML workflows in telecom (churn, network prediction). Exposure to 5G network data models . ...

reliability Partner closely with commercial teams on business critical problems Influence technical direction as the platform evolves Get exposure to AI initiatives with learning and development support About the Candidate The right Senior Data Engineer should have: Strong experience with SQL, Postgres, and Python Background working with pricing … business and explaining technical decisions Either experienced leading technically, or showing clear potential to step into leadership Curious, driven, and keen to keep learning — particularly around AI and emerging tech Nice to Have Experience coaching or mentoring junior engineers and sharing knowledge Exposure to commodities, pricing, or financial market ...