226 to 250 of 665 Machine Learning Jobs in the City of London

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯

Data Engineer | AI Startup | Real-Time Data & ML Pipelines I’m currently partnered with a next-generation AI startup that’s building real-time intelligence systems capable of understanding and adapting to the world as it happens. They’re at the forefront of streaming data, continuous learning, and large-scale inference - and they’re now looking for a Data … a maintenance role. It’s a build-it-from-the-ground-up opportunity in a company that’s solving genuinely hard, technical problems around real-time data pipelines and ML infrastructure . ⚙️ The Opportunity The team is looking for a Data Engineer who can design and scale real-time data architectures and machine learning pipelines that drive continuous … model training and experimentation. You’ll be working in close collaboration with ML engineers, product leads, and platform teams to make sure the company’s AI models are learning, and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯

delivery Experience with backend development frameworks (e.g., Flask, Django) Ability to work autonomously in an early-stage environment Strong problem-solving and collaboration abilities Nice-to-haves Background in machine learning/AI frameworks (PyTorch, transformers, etc.) Familiarity with cloud infrastructure (GCP, AWS) and CI/CD (GitHub Actions) Experience with SQLAlchemy, Flask and PyQt (or other GUI More ❯

delivery Experience with backend development frameworks (e.g., Flask, Django) Ability to work autonomously in an early-stage environment Strong problem-solving and collaboration abilities Nice-to-haves Background in machine learning/AI frameworks (PyTorch, transformers, etc.) Familiarity with cloud infrastructure (GCP, AWS) and CI/CD (GitHub Actions) Experience with SQLAlchemy, Flask and PyQt (or other GUI More ❯

Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

collaborative, multidisciplinary team environment. Familiarity with maintaining andrefactoring legacy codebases is a plus. Eagerness to learn and apply Azure, AzureML, Azure DevOps, and AI tools in a commercial context. Machine Learning or Artificial Intelligence knowledge and experience beneficial but not essential. Catastrophe modelling or (re)insurance experience beneficial but not essential. Compensation and benefits On top of a More ❯

collaborative, multidisciplinary team environment. Familiarity with maintaining andrefactoring legacy codebases is a plus. Eagerness to learn and apply Azure, AzureML, Azure DevOps, and AI tools in a commercial context. Machine Learning or Artificial Intelligence knowledge and experience beneficial but not essential. Catastrophe modelling or (re)insurance experience beneficial but not essential. Compensation and benefits On top of a More ❯

with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary More ❯

with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary More ❯

8+ years of software engineering experience with strong proficiency in Python or TypeScript. 3+ years in a leadership or technical management role. Proven experience developing and deploying AI/ML solutions in financial or data-intensive environments. Strong knowledge of Azure or other cloud-native architectures Hands-on experience integrating LLMs, APIs, and NLP technologies (e.g. Claude, OpenAI, Gemini, Foundry More ❯

distributed systems, microservices architecture, and event-driven patterns. ? Demonstrated experience with real-time applications and data streaming technologies (e.g., WebSockets, gRPC, Kafka). ? Experience integrating third-party AI/ML APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. ? Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯