london (city of london), south east england, united kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , promptengineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , promptengineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯
london, south east england, united kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , promptengineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯
slough, south east england, united kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , promptengineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SGI
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 promptengineering, 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 engineeringMore ❯
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 promptengineering, 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 engineeringMore ❯
london, south east england, united kingdom Hybrid / WFH Options
SGI
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 promptengineering, 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 engineeringMore ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
SGI
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 promptengineering, 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 engineeringMore ❯
slough, south east england, united kingdom Hybrid / WFH Options
SGI
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 promptengineering, 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 engineeringMore ❯
to code and architecture reviews, mentor junior engineers, and foster innovation within the team. Support AI model deployment, training workflows, and internal tooling development. Requirements 10+ years in software engineering, with a focus on platform or cloud-native development (.NET preferred). Proven experience with Azure PaaS services (Functions, AKS, API Management). Deep knowledge of RESTful APIs , authentication … skills and the ability to deliver scalable, secure solutions. Experience working in Agile environments and mentoring team members. Hands-on experience with Large Language Models (LLMs) , RAG , agent orchestration, promptengineering, and tool calling. If you are interested and suitable, please apply now More ❯
to code and architecture reviews, mentor junior engineers, and foster innovation within the team. Support AI model deployment, training workflows, and internal tooling development. Requirements 10+ years in software engineering, with a focus on platform or cloud-native development (.NET preferred). Proven experience with Azure PaaS services (Functions, AKS, API Management). Deep knowledge of RESTful APIs , authentication … skills and the ability to deliver scalable, secure solutions. Experience working in Agile environments and mentoring team members. Hands-on experience with Large Language Models (LLMs) , RAG , agent orchestration, promptengineering, and tool calling. If you are interested and suitable, please apply now More ❯
libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for promptengineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯
libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for promptengineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯
libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for promptengineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯
libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for promptengineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯
london (city of london), south east england, united kingdom
Capgemini
libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for promptengineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯
Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including promptengineering, RAG pipelines and agentic patterns where appropriate Work directly with investment professionals, turn ambiguous asks into scoped problems, and iterate in short sprints Lead hands-on sessions More ❯
Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including promptengineering, RAG pipelines and agentic patterns where appropriate Work directly with investment professionals, turn ambiguous asks into scoped problems, and iterate in short sprints Lead hands-on sessions More ❯
london (city of london), south east england, united kingdom
MBN Solutions
Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including promptengineering, RAG pipelines and agentic patterns where appropriate Work directly with investment professionals, turn ambiguous asks into scoped problems, and iterate in short sprints Lead hands-on sessions More ❯
Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including promptengineering, RAG pipelines and agentic patterns where appropriate Work directly with investment professionals, turn ambiguous asks into scoped problems, and iterate in short sprints Lead hands-on sessions More ❯
use cases for generative and agentic AI, such as credit decisioning, fraud detection, personalized banking, claims processing, underwriting automation, and algorithmic trading. Provide consulting on Gen-AI scalability, governance, promptengineering, Gen-AI factory setup, and LLM fine-tuning. Integrate advanced AI technologies using platforms like OpenAI, Anthropic, Meta's LLaMA, and emerging multi-modal models. Design and More ❯
sports betting. You’ll craft cutting-edge AI prototypes, fine-tune LLMs, and build powerful APIs that bring next-gen intelligence to our platform. Working across research, product, and engineering, you'll deliver real-world solutions using technologies like Retrieval-Augmented Generation and cloud-based AI tooling from Microsoft, AWS, and Google. You’ll be part of a dynamic … pushing the boundaries of what’s possible—driving innovation, scalability, and strategic impact in a fast-moving, highly regulated industry. The Player You’re fluent in generative AI, from promptengineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch, and a sharp eye for AI trends and ethics. You More ❯
sports betting. You’ll craft cutting-edge AI prototypes, fine-tune LLMs, and build powerful APIs that bring next-gen intelligence to our platform. Working across research, product, and engineering, you'll deliver real-world solutions using technologies like Retrieval-Augmented Generation and cloud-based AI tooling from Microsoft, AWS, and Google. You’ll be part of a dynamic … pushing the boundaries of what’s possible—driving innovation, scalability, and strategic impact in a fast-moving, highly regulated industry. The Player You’re fluent in generative AI, from promptengineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch, and a sharp eye for AI trends and ethics. You More ❯
to mentor junior team members, fostering a culture of continuous learning and innovation. Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. Understanding of key concepts such as promptengineering, RAG, model orchestration, and hallucination detection. Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations. Defining performance metrics for AI services and More ❯
to mentor junior team members, fostering a culture of continuous learning and innovation. Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. Understanding of key concepts such as promptengineering, RAG, model orchestration, and hallucination detection. Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations. Defining performance metrics for AI services and More ❯