51 to 75 of 289 Machine Learning Jobs in Central London

modern data architectures Data quality, governance and performance optimisation Working within complex or regulated environments Youll also need practical exposure to AI or Machine Learning … initiatives, including areas such as: AWS Bedrock or similar AI services Generative AI and prompt engineering concepts AI-enabled data products or workflows Supporting ML pipelines or working alongside Data Science teams Experience with Terraform, APIs, CI/CD or DataOps practices would be beneficial. Interested? Please apply below. ...

Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software … Engineering, AI Engineering, or Machine Learning Engineering roles Strong hands-on Python engineering capability Experience building AI or machine learning solutions within production environments Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with ...

systems deliver reliable, secure, and measurable business outcomes. Key Responsibilities & Requirements: Provide expert leadership for the operational management and continuous improvement of AI, Machine Learning, and Generative AI solutions across the organization. Driving Agentic Automation and AIOps implementation by providing oversight, resolving blockers and ensuring smooth execution Design … teams. Operate effectively within a fast-paced, dynamic environment, delivering measurable outcomes and driving continuous operational excellence. Preferred Qualifications: Extensive experience in AI/ML operations, platform engineering, MLOps, DevOps, or enterprise technology operations. Strong understanding of Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation ...

systems deliver reliable, secure, and measurable business outcomes. Key Responsibilities & Requirements: Provide expert leadership for the operational management and continuous improvement of AI, Machine Learning, and Generative AI solutions across the organization. Driving Agentic Automation and AIOps implementation by providing oversight, resolving blockers and ensuring smooth execution Design … teams. Operate effectively within a fast-paced, dynamic environment, delivering measurable outcomes and driving continuous operational excellence. Preferred Qualifications: Extensive experience in AI/ML operations, platform engineering, MLOps, DevOps, or enterprise technology operations. Strong understanding of Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation ...

years of experience in a data science or statistical role with a track record of delivering impactful solutions • Proven experience developing and deploying machine learning models and statistical analysis • Strong proficiency in Python and SQL, with experience in Spark SQL • Familiarity with cloud platforms and distributed computing tools … such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical and machine learning techniques to solve real business problems • Clear communication skills, including the ability to explain technical concepts to non-technical stakeholders Why apply?: • Join ...

years of experience in a data science or statistical role with a track record of delivering impactful solutions • Proven experience developing and deploying machine learning models and statistical analysis • Strong proficiency in Python and SQL, with experience in Spark SQL • Familiarity with cloud platforms and distributed computing tools … such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical and machine learning techniques to solve real business problems • Clear communication skills, including the ability to explain technical concepts to non-technical stakeholders Why apply?: • Join ...

/AI Solutions Architect, you will be responsible for designing scalable, highly secure, and resilient data and AI systems, while driving strategic initiatives including Machine Learning, LLMOps, RAG, and GCP cloud migration. This role bridges business needs with technical execution, involving stakeholder management, cloud-native … architecture development, and ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: · Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy ...

/AI Solutions Architect, you will be responsible for designing scalable, highly secure, and resilient data and AI systems, while driving strategic initiatives including Machine Learning, LLMOps, RAG, and GCP cloud migration. This role bridges business needs with technical execution, involving stakeholder management, cloud-native … architecture development, and ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: · Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy ...

Roadmap, prioritisation and accountability Act as technical lead for named workstreams: define validation gates, set pre-agreed continue/pivot/stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams. Own the innovation roadmap for assigned … medical-device or SaMD development environment (ISO 13485, IEC 62304, FDA 510(k) or De Novo submissions, EU MDR). Experience with AI/ML model lifecycle in clinical or trial settings, including post-market performance monitoring and GMLP-aligned practice. Familiarity with multimodal biomarker integration (imaging + plasma + ...

Roadmap, prioritisation and accountability Act as technical lead for named workstreams: define validation gates, set pre-agreed continue/pivot/stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams. Own the innovation roadmap for assigned … medical-device or SaMD development environment (ISO 13485, IEC 62304, FDA 510(k) or De Novo submissions, EU MDR). Experience with AI/ML model lifecycle in clinical or trial settings, including post-market performance monitoring and GMLP-aligned practice. Familiarity with multimodal biomarker integration (imaging + plasma + ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

based data and AI platforms Building scalable data architectures and engineering solutions across enterprise environments Developing robust data pipelines and frameworks that support analytics, machine learning, and AI applications Working alongside data scientists, software engineers, architects, and business stakeholders to deliver end-to-end solutions Supporting the deployment … Engineering, or Cloud Engineering Strong Python and SQL capabilities Experience working with large-scale data processing technologies and modern data architectures Exposure to AI, machine learning, or advanced analytics environments Proven ability to lead technical workstreams and influence stakeholders Strong communication skills and an ability to translate technical ...

based data and AI platforms Building scalable data architectures and engineering solutions across enterprise environments Developing robust data pipelines and frameworks that support analytics, machine learning, and AI applications Working alongside data scientists, software engineers, architects, and business stakeholders to deliver end-to-end solutions Supporting the deployment … Engineering, or Cloud Engineering Strong Python and SQL capabilities Experience working with large-scale data processing technologies and modern data architectures Exposure to AI, machine learning, or advanced analytics environments Proven ability to lead technical workstreams and influence stakeholders Strong communication skills and an ability to translate technical ...

Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution … solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working ...

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 ...

delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions … leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment ...

heart of a complex technology and cybersecurity ecosystem . This is an opportunity to shape the future of a platform that leverages data engineering, machine learning, and generative AI to enable advanced cybersecurity capabilities at scale. You'll work closely with engineering, cybersecurity, data, and technology leaders … technologies. Ability to communicate complex technical concepts to both technical and non-technical audiences. Understanding of cybersecurity principles and practices. Experience working with AI, machine learning, or data-driven products is highly desirable Start Up/Scale Up Experience highly desirable. What's On Offer: Annual bonus ...

heart of a complex technology and cybersecurity ecosystem . This is an opportunity to shape the future of a platform that leverages data engineering, machine learning, and generative AI to enable advanced cybersecurity capabilities at scale. You'll work closely with engineering, cybersecurity, data, and technology leaders … technologies. Ability to communicate complex technical concepts to both technical and non-technical audiences. Understanding of cybersecurity principles and practices. Experience working with AI, machine learning, or data-driven products is highly desirable Start Up/Scale Up Experience highly desirable. What's On Offer: Annual bonus ...

commercial analysis Own and execute strategic initiatives and be accountable for their growth and success Lead the rollout and adoption of the existing Machine Learning module (AVA) across the customer base Design, develop, and optimise AI-powered booking solutions to improve vehicle allocation across repair networks Support strategic … technology businesses Strong analytical and problem-solving capabilities with the ability to interpret complex data sets and generate actionable insights Familiarity with AI and Machine Learning concepts, products, and applications Commercial mindset with the ambition and capability to own product performance and growth initiatives Experience supporting strategic initiatives ...

large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines … approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive ...

priorities, shape analytical approaches, and translate insight into action Oversee the design and deployment of models using a range of techniques including predictive modelling, machine learning, GLMs, GBMs, and NLP Guide and mentor a growing team of data scientists and predictive modellers, supporting capability development and best practice … with a background in insurance Proven ability to build and implement statistical and predictive models using tools such as Python and SQL Experience with machine learning techniques, data mining, and ideally NLP Strong communication skills, with the ability to explain complex concepts to both technical and non-technical ...

priorities, shape analytical approaches, and translate insight into action Oversee the design and deployment of models using a range of techniques including predictive modelling, machine learning, GLMs, GBMs, and NLP Guide and mentor a growing team of data scientists and predictive modellers, supporting capability development and best practice … with a background in insurance Proven ability to build and implement statistical and predictive models using tools such as Python and SQL Experience with machine learning techniques, data mining, and ideally NLP Strong communication skills, with the ability to explain complex concepts to both technical and non-technical ...

just presented. Responsibilities as a Data Scientist: Conduct exploratory data analysis to identify trends, patterns and anomalies across large datasets Build, refine and deploy machine learning models to solve business problems Perform data cleaning, feature engineering and transformation to ensure data quality and model suitability Support integration … discipline 2+ years of experience in data analysis, statistical modelling or data science Hands-on experience with Python, R or SQL Proven experience with machine learning algorithms and data science methodologies Familiarity with cloud platforms, big data technologies and distributed computing Experience with data visualisation tools such ...

just presented. Responsibilities as a Data Scientist: Conduct exploratory data analysis to identify trends, patterns and anomalies across large datasets Build, refine and deploy machine learning models to solve business problems Perform data cleaning, feature engineering and transformation to ensure data quality and model suitability Support integration … discipline 2+ years of experience in data analysis, statistical modelling or data science Hands-on experience with Python, R or SQL Proven experience with machine learning algorithms and data science methodologies Familiarity with cloud platforms, big data technologies and distributed computing Experience with data visualisation tools such ...