206 Tensorflow jobs in London
Artificial Intelligence Engineer
London, London
EC Markets
Posted today
Job Viewed
Job Description
About the Company
EC Markets is a leading investment and trading services provider, offering clients access to global financial markets through innovative technology and a commitment to regulatory excellence. We specialise in delivering trading solutions across a diverse range of asset classes, including equities, forex, commodities, and derivatives, with a strong focus on transparency, integrity, and client success.
With a client-first approach, we are dedicated to creating a secure and supportive trading environment that meets the highest regulatory standards. Our culture is built on collaboration, accountability, and continuous improvement, ensuring that both our clients and employees benefit from our forward-thinking approach to financial services.
About the Role
We are looking for a talented and enthusiastic AI Developer (Python) to join a growing team of experienced technologists and finance professionals and build a best-in-class trading/investment platform, with opportunities for technical ownership from day one. Please note that this role is office-based (Finsbury Square, Monday to Friday).
Responsibilities
- Build and maintain services that support AI agent interaction.
- Implement APIs, contracts, and metadata aligned with the Model Context Protocol.
- Develop internal tooling that supports AI-native workflows.
- Establish best practices for prompt engineering, model fine-tuning, and evaluation.
- Stay current with developments in AI/ML and apply relevant research to product needs.
- Participate in design reviews, code reviews, and incident response.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or equivalent.
Required Skills
- Software development experience with proven expertise in at least one programming language (Python / Java / Typescript) with experience building APIs and integrating backend systems.
- Solid Machine Learning fundamentals.
- Model Context Protocol for managing context and tool interfaces for agents.
- LLM integration patterns, including prompt orchestration and tool calling.
- Retrieval-Augmented Generation (RAG) for dynamic context injection.
- Understanding of user-centric design for AI interfaces and intelligent automation.
- Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.).
Preferred Skills
- Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration.
- Self-motivated with a strong growth mindset.
Pay range and compensation package
- Competitive salary and performance-based bonus.
- Opportunities for professional growth and career advancement.
- Contribution pension scheme.
- A collaborative and innovative work environment.
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0
Artificial Intelligence Engineer
London, London
Intellect Group
Posted today
Job Viewed
Job Description
Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence? We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London . You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: Design, train, and evaluate machine learning and deep learning models for real-world applications Support the development and optimisation of AI pipelines — from data preprocessing to model deployment Experiment with techniques across NLP, computer vision, and predictive analytics Collaborate with data engineers and software developers to integrate AI solutions into scalable products Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity, and experimentation. Hybrid Flexibility – Balance remote work with in-person collaboration days at our London office. Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn Understanding of machine learning algorithms and statistical modelling Strong problem-solving and analytical mindset Excellent communication skills and a genuine passion for learning Nice to Have: Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) Familiarity with MLOps tools or model deployment practices Exposure to NLP, computer vision, or generative AI projects (academic or personal) Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in AI and work on projects that push the boundaries of innovation — we’d love to hear from you. Apply now and be part of shaping the future of intelligent technology!
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1
Artificial Intelligence Engineer
London, London
Space Executive
Posted today
Job Viewed
Job Description
AI Engineer – Junior to Mid-Level | £60,000–£5,000 Hybrid (2 Days Onsite) | London | Series-Funded AI Scale-Up Are you ready to build the future of enterprise AI? Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster, at a tenth of the cost. Now, we’re on the lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical solutions What You’ll Get: £60,000–£85,000 lary depending on experience Work with a world-class team on bleeding-edge AI problems Hybrid working – 2 days/week in our central London office Backed by leading investors and growing fast—your work will have immediate impact Build products that are already transforming Fortune 500 companies This isn’t just another AI role. It’s a chance to be at the core of the AI transformation in one of the UK’s most exciting tech companies.
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2
Artificial Intelligence Engineer
London, London
Space Executive
Posted today
Job Viewed
Job Description
AI Engineer – Junior to Mid-Level | £60,000–£5,000 Hybrid (2 Days Onsite) | London | Series-Funded AI Scale-Up Are you ready to build the future of enterprise AI? Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster, at a tenth of the cost. Now, we’re on the lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical solutions What You’ll Get: £60,000–£85,000 lary depending on experience Work with a world-class team on bleeding-edge AI problems Hybrid working – 2 days/week in our central London office Backed by leading investors and growing fast—your work will have immediate impact Build products that are already transforming Fortune 500 companies This isn’t just another AI role. It’s a chance to be at the core of the AI transformation in one of the UK’s most exciting tech companies.
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3
Artificial Intelligence Engineer
London, London
SGI
Posted today
Job Viewed
Job Description
AI Engineer Rate - £850 Hybrid working - London What you'll do Design and build AI prototypes using LLMs, agentic workflows, and vector-based knowledge retrieval Collaborate with investment teams and data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory environment Strong collaboration skills and ability to work with investment stakeholders The knowledge, experience and qualifications that will help Experience working with knowledge graphs or vector databases Experience working in an agile environment with rapid prototyping and iteration Exposure to front-end frameworks (e.g. React) is a nice-to-have but not required Interest in the evolving field of AI governance, accuracy, and explainability Understanding of investment data – an eagerness to learn is fine
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4
Artificial Intelligence Engineer
London, London
Method Resourcing
Posted today
Job Viewed
Job Description
Contract AI Engineer – Azure AI Agents | Inside IR35 | Hybrid (UK-based) Join one of the UK’s leading Investment management firms' cutting-edge AI transformation project. They're building a Greenfield AI agent platform to revolutionise how investors interact with customer data. What You’ll Do Build and deploy modular AI agents using Python and containerisation tools. Leverage RAG, embeddings, and OCR to synthesise customer data. Collaborate with data engineers, DevOps, and integration specialists. Deliver APIs for seamless integration into Microsoft 365 and Dynamics 365 environments. Contribute to a high-impact roadmap with full business support. What You’ll Bring Proven experience shipping production AI solutions. Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.). Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic). Experience with Azure integration services is a bonus. Passion for AI and automation - financial services background not required. Why Join? Greenfield opportunity in a highly supportive environment. Exposure to cutting-edge AI tooling and real-world customer data. Flexible team, open to mid-level engineers with strong delivery experience. Initial 6-month contract with potential for extension.
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5
Artificial Intelligence Engineer
London, London
SGI
Posted today
Job Viewed
Job Description
AI Engineer Rate - £850 Hybrid working - London What you'll do Design and build AI prototypes using LLMs, agentic workflows, and vector-based knowledge retrieval Collaborate with investment teams and data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory environment Strong collaboration skills and ability to work with investment stakeholders The knowledge, experience and qualifications that will help Experience working with knowledge graphs or vector databases Experience working in an agile environment with rapid prototyping and iteration Exposure to front-end frameworks (e.g. React) is a nice-to-have but not required Interest in the evolving field of AI governance, accuracy, and explainability Understanding of investment data – an eagerness to learn is fine
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Artificial Intelligence Engineer
London, London
Method Resourcing
Posted today
Job Viewed
Job Description
Contract AI Engineer – Azure AI Agents | Inside IR35 | Hybrid (UK-based) Join one of the UK’s leading Investment management firms' cutting-edge AI transformation project. They're building a Greenfield AI agent platform to revolutionise how investors interact with customer data. What You’ll Do Build and deploy modular AI agents using Python and containerisation tools. Leverage RAG, embeddings, and OCR to synthesise customer data. Collaborate with data engineers, DevOps, and integration specialists. Deliver APIs for seamless integration into Microsoft 365 and Dynamics 365 environments. Contribute to a high-impact roadmap with full business support. What You’ll Bring Proven experience shipping production AI solutions. Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.). Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic). Experience with Azure integration services is a bonus. Passion for AI and automation - financial services background not required. Why Join? Greenfield opportunity in a highly supportive environment. Exposure to cutting-edge AI tooling and real-world customer data. Flexible team, open to mid-level engineers with strong delivery experience. Initial 6-month contract with potential for extension.
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7
Artificial Intelligence Engineer
London, London
Harnham
Posted today
Job Viewed
Job Description
Senior AI Software Engineer London £90,000-£130,000 I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients. Ensure Scalable and Reliable Deployment Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale. Act as a Strong Team Contributor and Communicator While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team Ready to Apply? If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.
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8
Artificial Intelligence Engineer
London, London
Intellect Group
Posted today
Job Viewed
Job Description
Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence? We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London . You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: Design, train, and evaluate machine learning and deep learning models for real-world applications Support the development and optimisation of AI pipelines — from data preprocessing to model deployment Experiment with techniques across NLP, computer vision, and predictive analytics Collaborate with data engineers and software developers to integrate AI solutions into scalable products Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity, and experimentation. Hybrid Flexibility – Balance remote work with in-person collaboration days at our London office. Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn Understanding of machine learning algorithms and statistical modelling Strong problem-solving and analytical mindset Excellent communication skills and a genuine passion for learning Nice to Have: Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) Familiarity with MLOps tools or model deployment practices Exposure to NLP, computer vision, or generative AI projects (academic or personal) Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in AI and work on projects that push the boundaries of innovation — we’d love to hear from you. Apply now and be part of shaping the future of intelligent technology!
This advertiser has chosen not to accept applicants from your region.
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