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White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems, • Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for • Deep expertise in Python and ML engineering, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures, • Track record of leading ML/AI technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG), • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems, • Experience designing and scaling low-latency, customer-facing ML/AI architectures, • Proven experience setting a multi-team ML/AI technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving ML engineering standards and best practices across organisations, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems, • Experience leveraging enterprise platforms to deliver business use cases at scale, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Our client is a global professional services and technology consultancy. \n Role Title: Consulting Engineer - Forward Deployed (Palantir) \n Location: London \n Salary: Competitive salary and package dependent on experience \n Career Level: Senior Analyst or Specialist \n \n Our Palantir Business Group (APBG) is a deep data and AI group founded on an innate desire to create real-world change. We are consulting engineers... \n \n \n ZIPC1_UKTJ

3 x Contract Senior CXE Engineer - Amazon Connect \n Day Rate - DoE - \n Contract Length - Initial 6 months - Rolling extensions \n UK Remote based - Some travel for essential meetings | Candidates must be eligible to work and reside in the UK \n About the Role \n You will spend the majority of your time in code and in the AWS console: building contact flows and AI agents, writing Lambda functions and CDK stacks, dev... \n \n ZIPC1_UKTJ

Senior AWS DevOps Engineer – IaC, Serverless, CDK, Terraform, Python, OIDC, IAM Rules – Outside IR35 \n A standout contract opportunity with a global, market-leading B2B SaaS organisation undergoing a greenfield platform build involving AI adoption, and modern engineering practices. We're expanding our UK DevOps function and looking for a Senior AWS DevOps Engineer with extensive IaC, serverless and s... \n \n ZIPC1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

AI Workplace Senior Engineer\n \nRole Overview\n \nA leading Microsoft Partner is looking for an experienced AI Workplace Senior Engineer to deliver secure, modern Microsoft 365 collaboration and AI solutions. The role focuses on SharePoint Online, Microsoft 365 Copilot, Purview, Power Platform, governance, and client adoption.\n \n \nKey Responsibilities\n\n • Design and deploy secure Microsoft 365 collaboration solution...\n\n \n \n \n \n \n \n \n \n \n \n \n \n ZIPC1_UKTJ

Our client is a leading global investment bank. JOB DESCRIPTION\n \n We have an opportunity to impact your career and help you push the limits of what is possible. You will help teams adopt approved AI-assisted engineering practices that improve quality, speed, and operational resilience. If you enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ow... \n \n \n \n \n \n ZIPC1_UKTJ

hackajob is partnering directly with BNY Mellon to hire for this role. \n We're seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in London. \n In this role, you'll make an impact in the following ways: \n\n • \n Define and execute the enterprise Java full stack technology strategy, aligned wi... \n • \n \n\n \n ZIPC1_UKTJ

Our client is a global professional services and technology consultancy. \n YOU ARE \n You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion throug... \n \n \n ZIPC1_UKTJ

Our client is a leading global investment bank. JOB DESCRIPTION\n \n \n Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners,... \n \n \n \n \n \n \n \n ZIPC1_UKTJ

About Atos GroupAtos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.About Our TeamOur Full stack engineering team brings together experienced engineers, diverse perspectives, and a flat team structure that enables visibility and impact from day one. With 4050 professionals across the practice, we deliver some of the most exciting projects in the market from next-generation fintech payment platforms to global insurance systems deployed across multiple countries.AI is an important part of our work, but this role is grounded in strong software engineering fundamentals. We are looking for senior engineers who enjoy architecture, system design, and end-to-end delivery, with a genuine interest in modern technologies, including AI.The role requires Security Clearance or ability to get SC in short timescales.About the RoleWe are seeking a Senior Full Stack Engineer who is passionate about building high-quality software and designing robust systems. You will work on complex, large-scale solutions across multiple technology stacks, collaborating closely with clients and internal stakeholders. While you will help guide other engineers, this role is engineering-led rather than people-management-focused.Where Purpose Meets CareerTechnologyThis is a true full-stack role , offering exposure to a broad range of technologies and architectures. You will continuously upskill while working alongside highly talented engineers, selecting the most appropriate tools and languages for each challenge.Contribute to diverse and meaningful projectsFrom automating government client systems and delivering large-scale platform migrations, to applying AI to enhance our products including next-generation fintech payment platforms and global insurance systems deployed across multiple countries.CultureOur culture is built by people who genuinely love technology. We value curiosity, collaboration, and continuous learning, and we actively support innovation and knowledge sharing.Your Future RoleAs a Senior Full Stack Engineer, you will:Design, build, and deploy scalable, high-quality systemsTranslate business and client requirements into technical solutionsWork directly with clients, moving quickly from concept to productionLead by example through hands-on developmentContribute to architectural decisions across multiple teamsSupport and mentor engineers while remaining deeply involved in deliveryWhat You BringA proven track record in full stack developmentExperience designing systems and solutions independentlyExperience providing technical leadership while staying actively involved in hands-on development is highly valued.Experience RequiredSolid understanding of maintainable code, systems design and software architectureExperience working across multiple technology stacksStrong experience with library-appropriate, strongly typed languages such as C++, Java, C#, Go or Rust , along with relevant front-end frameworksHigh adaptability and the ability to learn new technologies quicklyInterest in modern technologies such as new languages, AI, cloud platformsStrong communication skills and confidence working with clients and distributed teamsYour Benefits, Your Way25 days annual leave , with the option to purchase additional daysPrivate HealthcareLife AssuranceIncome ProtectionPension contribution matched up to 10%Flexible benefits , allowing you to tailor your package around wellbeing, family support, and moreSelection ProcessRecruiter introductionOnline test (approximately 35 minutes, completed in your own time)Technical interview with the Head of Gen AI PracticeLive coding session with a future colleague(All interviews are conducted via MS Teams.)Recruiter Contact:Please write directly to Ofelia Georgieva on Ofelia Georgieva | LinkedIn |Diversity, Equity & InclusionHere at Atos, diversity and inclusion are embedded in our DNA.Read moreabout our commitment to a fair work environment for all. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs.We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated mailbox -Lets grow together.TPBN1_UKTJ

Our client is a global credit ratings and risk analytics firm. \n Skills and Competencies \n\n • 8+ years of experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native services\n, • Expert-level coding capability in modern programming languages such as Python, TypeScript, Go, or similar, with the ...\n\n \n \n ZIPC1_UKTJ

Our client is a savings and investment app. \n About our client \n Our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Our client is an award-winning wealth management platform, helping over one and a half million people build wealth th... \n \n ZIPC1_UKTJ

Application Engineer | London| Hybrid \n Salary: £60k-£80k + 20% bonus + £10.5k guaranteed bonus + 14% pension \n I'm working with a global Investment Management firm looking for an Application Engineer to join their Europe FAS Engineering team. \n Purpose of the Role \n You'll build and enhance digital platforms that power client onboarding and customer journeys across Europe, working across modern frontend, backend, cloud and AI-assisted technologies. \n Required Skills \n\n • Strong Angular, Java & Spring Boot & Node.js experience\n, • AWS knowledge - Aurora PostgreSQL, S3, EC2\n, • Experience with CI/CD & automated testing\n, • Hands-on use of AI/LLM tools such as Claude or GitHub Copilot\n, • Ability to own features end-to-end and work with distributed teams.\n, • Experience working with financial services, customer facing digital platforms, product environment, KYC or highly regulated firms.\n\n Desired Skills \n\n • Adobe Experience Manager (AEM)\n, • AWS certification\n, • Observability & monitoring tools\n\n If this sounds like an interesting opportunity please feel free to apply or reach out at

Practice Group / Department: \n Legal Innovation, Design & Technology - London \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n Role Purpose \n We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. \n The Data Scientist & Engineer will work within R&D alongside the Data Programme to build the foundational data capabilities required for those products: trusted, reusable data assets, reliable pipelines, data quality, lakehouse models and analytical products. These capabilities will support R&D products, AI applications, client intelligence and firm-wide decision support. \n This is a hands-on hybrid data-engineering and applied-data-science role, with particular responsibility for building data products in Microsoft Fabric and Databricks. You will work with Data Programme colleagues to turn priority sources into governed, use-case-ready data assets using agreed patterns, without duplicating enterprise platform responsibilities. \n You will join a small, hands-on multidisciplinary team working collaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. \n Key Responsibilities \n\n • \n Partner with the Data Programme, data owners and system teams to assess, access and combine priority internal and external data sources, understanding quality, permissions and fitness for use. \n\n\n • \n Design, build and operate reliable pipelines in Microsoft Fabric and Databricks to ingest, clean, standardise, enrich, version and publish structured, semi-structured and unstructured data as reusable data assets. \n\n\n • \n Create scalable lakehouse data models, schemas, data contracts and reusable features for entities such as clients, organisations, people, matters, sectors, jurisdictions, opportunities and legal topics. \n\n\n • \n Implement data-quality checks, lineage, provenance, observability, monitoring and change management within Fabric and Databricks workflows so data assets remain trusted over time. \n\n\n • \n Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. \n\n\n • \n Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. \n\n\n • \n Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. \n\n\n • \n Publish curated datasets, features and analytical outputs through approved Fabric and Databricks data products, tables, APIs, search indexes, batch pipelines or product features. \n\n\n • \n Maintain reproducible code, tests, model and data documentation, evaluation evidence and clear statements of limitations and appropriate use. \n\n\n • \n Use AI agents and coding assistants responsibly to accelerate exploratory work, pipeline development, testing and documentation, while retaining ownership of analytical judgement and verification. \n\n Initial Focus \n\n • \n Establish foundational, governed and permission-aware data assets in Microsoft Fabric and Databricks, including curated datasets, metadata, lakehouse data models and quality measures. \n\n\n • \n Develop reusable pipelines in Microsoft Fabric and Databricks for entity resolution, enrichment, metadata, relationship mapping and data-quality monitoring. \n\n\n • \n Run EDA and model development that increases the value of priority data assets for client intelligence, opportunity identification, pricing, matter analysis and other high-value use cases. \n\n What Success Looks Like \n\n • \n The Data Programme and R&D teams can use documented, quality-controlled data assets in Fabric and Databricks without repeatedly cleaning and reconciling source data. \n\n\n • \n Analytical work identifies useful signals and viable opportunities, with transparent baselines, validation and limitations. \n\n Successful models and features

\n Lead AI EngineerLondon (Hybrid) | Up to £110,000 + 15% Bonus + Excellent BenefitsThis is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.The CompanyThey are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.The RoleAs a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.Responsibilities include:* Leading the end-to-end delivery of Generative AI and agentic AI solutions \n * Designing and building LLM-powered applications and intelligent automation tools \n * Making key architecture, tooling, and platform decisions across multiple initiatives \n * Evaluating build versus buy approaches and recommending scalable solutions \n * Establishing engineering standards, reusable frameworks, and best practices \n * Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability \n * Working closely with engineering, security, data protection, and business stakeholders \n * Providing technical leadership and mentoring across AI workstreams \n Driving AI initiatives that deliver measurable operational and commercial valueYour Skills & ExperienceYou will demonstrate strong commercial experience in: Delivering Generative AI solutions into production environments \n * Leading AI projects end-to-end, from discovery through deployment \n * Designing scalable AI architectures within enterprise environments \n * Building LLM-powered applications, RAG solutions, and agent-based systems \n * Software engineering fundamentals, including APIs, distributed systems, and cloud platforms \n * Technical decision-making in fast-moving or ambiguous problem spaces \n * Working within governance, security, and compliance frameworks \n Influencing stakeholders and communicating complex technical concepts clearlyDesirable experience includes: AWS cloud technologies \n * MLOps or LLMOps practices \n * Financial services or other regulated industries \n Building reusable AI platforms, frameworks, or internal productsWhat They Offer Salary up to £110,000 \n * 15% annual bonus \n * Hybrid working with flexibility and a strong focus on outcomes \n * Generous pension contribution \n * Private medical cover \n * Enhanced parental leave policies \n * Holiday purchase scheme \n * The opportunity to influence AI strategy across a growing function \n * Exposure to a broad range of cutting-edge Generative AI use cases \n * High visibility and genuine ownership of business-critical AI initiativesHow to ApplyIf you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail. \n

Full Stack Engineer (Founding Engineer) \n Hybrid London | £100,000+ Equity \n This is a rare opportunity to join an early-stage technology business as a foundational software hire. You will have significant ownership from day one, working across mobile, cloud, and connected device technologies while helping shape the long-term software strategy and engineering function. \n The Company \n They are an innovative technology business developing connected products that combine hardware, software, and data to deliver meaningful real-world impact. Their product is already in market with a growing user base and a clear roadmap for future growth. The team is highly collaborative, technically strong, and focused on building solutions that genuinely improve customer outcomes. You will join at a pivotal stage, with the opportunity to influence both product direction and technical decisions. \n The Role \n You will take ownership of key software systems across mobile applications, cloud infrastructure, and device connectivity, working closely with senior stakeholders and technical teams. \n Responsibilities include: \n\n • Building and maintaining mobile applications across iOS and Android platforms.\n, • Developing and optimising Bluetooth Low Energy (BLE) connectivity between devices and applications.\n, • Designing and managing AWS-based cloud infrastructure and backend services.\n, • Creating scalable data ingestion and processing pipelines.\n, • Supporting the integration of AI-driven functionality into customer-facing products.\n, • Owning software quality, observability, deployment, and release processes.\n, • Collaborating with product and engineering teams to translate requirements into production-ready solutions.\n, • Contributing to the growth and development of the software function as the business scales.\n\n Your Skills & Experience \n\n • Strong commercial experience building and shipping production software.\n, • Proven experience developing and deploying mobile applications.\n, • Hands-on experience working with Bluetooth Low Energy (BLE) connected devices.\n, • Strong knowledge of AWS cloud services, infrastructure, authentication, and data systems.\n, • Full stack development capability across frontend, backend, and infrastructure.\n, • Experience leveraging AI tools and understanding how AI can enhance product experiences.\n, • Comfortable operating in fast-moving environments with high levels of ownership.\n, • Strong communication skills and the ability to collaborate across technical and non-technical teams.\n\n Desirable experience: \n\n • Health technology, regulated environments, or sensitive data applications.\n, • IoT platforms and connected device ecosystems.\n, • Time-series data, signal processing, or analytics-focused products.\n, • Over-the-air firmware updates.\n, • Mentoring engineers or contributing to technical leadership.\n, • Early-stage startup or scale-up environments.\n\n What They Offer \n\n • Genuine ownership of a core product and technology stack.\n, • Significant exposure to senior leadership and strategic decision-making.\n, • Clear progression into technical leadership as the company grows.\n, • Opportunity to help shape engineering culture, processes, and future hiring plans.\n\n How to Apply \n If you're excited by the opportunity to build scalable software, work across mobile, cloud, AI, and connected technologies, and play a key role in an ambitious growth journey, please apply today.

\n FULL STACK ENGINEER (AI-NATIVE) \n Up to £85,000 + Benefits \n London (Hybrid, 2 Days per Week)This is a great opportunity to join a high-growth fintech scale-up where you can take ownership of customer-facing products whilst working in an AI-first engineering environment. You'll help build technology that combines financial data, analytics, and behavioural insights to deliver meaningful outcomes for end users.THE COMPANY:This rapidly growing WealthTech business is transforming how individuals engage with their financial lives through innovative technology, sophisticated analytics, and exceptional user experience. Backed by leading investors and operating in a scale-up environment, the business is building a platform that provides users with a complete view of their financial world alongside personalised insights and recommendations.The engineering function operates through cross-functional Agile squads and is heavily focused on leveraging AI to increase engineering productivity and innovation.THE ROLE:You will take ownership of software within one of the engineering squads, contributing across both front-end and back-end development while working alongside product, engineering, and technical operations teams.Key responsibilities include: \n\n • Building and enhancing customer-facing web applications.\n, • Developing scalable features using React, JavaScript and TypeScript.\n, • Contributing to backend services built with Kotlin and Spring.\n, • Leveraging AI tools and agentic development workflows as part of your day-to-day engineering process.\n, • Working within Agile Scrum teams to plan, develop, test and release software.\n, • Collaborating on APIs, microservices and event-driven architectures.\n, • Driving software quality, performance, security and scalability.\n\n YOUR SKILLS AND EXPERIENCE:You will bring strong capability in: \n\n • Java and Kotlin backend development on the Spring stack.\n, • React, JavaScript and TypeScript.\n, • AI-assisted development, particularly using Claude and agentic engineering workflows.\n, • CI/CD pipelines, automated testing and API integrations.\n, • AWS, Docker and/or Kubernetes.\n, • Jira, Agile methodologies and collaborative software delivery.\n\n THE BENEFITS:You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.Please note: Sponsorship is not available for this position.HOW TO APPLY:Please register your interest by sending your CV to Molly Bird via the apply link on this page. \n

\n Senior Product EngineerLondon (Hybrid) | Up to £140,000 + EquityLooking to make a genuine impact at an early-stage AI startup? This is an opportunity to join a well-funded business as one of its first engineering hires, taking ownership of a product already being tested by major enterprise customers.The CompanyThis AI startup is building a behavioural intelligence platform that helps financial services organisations better understand customer behaviour and decision-making. Backed by significant early-stage investment, they are working with large enterprise clients and moving from proof-of-concept projects towards commercial deployment. With a small, highly capable team, they are focused on building scalable AI products with real-world impact.The RoleYou will take ownership of product development, helping to build and scale an AI-powered platform from an early stage.Responsibilities include: \n\n • Building LLM-enabled products and features used by enterprise customers\n, • Designing and developing backend services, APIs, and platform capabilities\n, • Owning RAG workflows and AI application architecture\n, • Managing evaluation frameworks, testing, monitoring, and quality standards\n, • Optimising LLM performance, scalability, and cost efficiency\n, • Working closely with product leadership and customers to shape the roadmap\n, • Establishing engineering best practices across development and deployment\n\n Your Skills & Experience \n\n • Strong experience as a Product Software Engineer\n, • Proven track record building and shipping an LLM-based product from 0 to 1\n, • Experience owning architecture, product decisions, and implementation\n, • Strong backend engineering experience with API-first products\n, • Hands-on experience with RAG and production AI systems\n, • Understanding of token usage, model evaluation, and cost optimisation\n, • Ability to operate autonomously in a startup environment\n, • Strong communication and stakeholder management skills\n\n Desirable: \n\n • Experience with Node.js, TypeScript, and React\n, • Computer Science background\n, • Experience within AI startups, technology companies, or financial services\n\n What They Offer \n\n • Salary up to £140,000\n, • Meaningful equity package\n, • Hybrid working in London\n, • Significant ownership and autonomy\n, • Opportunity to shape the engineering culture and technical direction\n, • Direct exposure to founders and business leadership\n\n How to ApplyApply today to learn more about this opportunity to build and scale cutting-edge AI products within a fast-growing startup. \n \n \n \n

Senior Engineer – Azure & Power Platform \n Permanent | London | Hybrid \n Circa £90,000 + Bonus + Benefits \n This is a hands-on engineering role responsible for delivering robust enterprise solutions on MS Azure and Power Platform. The role requires deep technical expertise, strong engineering judgement and close collaboration with architects, product, delivery and business stakeholders. This role will see you contribute to technical decisions and engineering standards through expertise and practical delivery. \n Please note: This is not a pure DevOps role. We are seeking a hands-on Azure and PP Engineer with strong experience across .NET, Azure PaaS services, integrations, APIs, and solution design. Whilst experience with CI/CD and DevOps practices is important, the primary focus is on delivering business solutions using Azure application and integration services. \n What you'll be doing \n\n • Design and implement enterprise-scale solutions on Microsoft Azure and Microsoft Power Platform in line with approved architecture, security and engineering standards.\n, • Translate functional and non-functional requirements into maintainable technical designs and working software.\n, • Contribute to solution design discussions, identify technical trade-offs and provide evidence-based engineering recommendations.\n, • Build reusable components, integrations and automation that improve delivery speed, consistency and supportability.\n, • Apply responsible AI practices when using Azure AI, Copilot or AI agent capabilities within business solutions. Azure, Integration & Application Development\n, • Develop applications and services using .NET or C-shap, REST APIs, microservices and Azure PaaS services.\n, • Design and implement integration solutions using Azure Functions, Logic Apps, Service Bus, Event Grid and API Management.\n\n What you’ll bring: \n\n • At least five years of experience as a Senior Engineer delivering complex, production-grade systems.\n, • Extensive hands-on experience with Microsoft Azure cloud services and Azure integration services.\n, • Strong .NET / C# development experience, including API-based and service-oriented architectures.\n, • Experience integrating Azure, Power Platform, Microsoft 365 and external enterprise systems.\n, • Experience designing and implementing microservices, event-driven solutions and data integrations.\n, • Working knowledge of Azure AI services and the Microsoft ecosystem for Copilot and AI agents. Cloud, Platform & DevOps.\n, • Solid understanding of cloud architecture principles, identity, security, networking, performance, resilience and observability.\n\n \n Why Apply? \n You'll be joining an organisation investing heavily in cloud-native platforms, integration capabilities, and AI-enabled solutions. This is an opportunity to play a key role in shaping the Azure technology landscape, influence engineering direction, and work on meaningful transformation programmes while remaining hands-on with modern Microsoft technologies.

Practice Group / Department: \n Legal Innovation, Design & Technology - London \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n Role Purpose \n We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. \n The AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products. \n This is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably. \n This is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams. \n You will join a small, hands-on multidisciplinary team. Each team member will workcollaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. \n Key Responsibilities \n\n • \n Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations. \n\n\n • \n Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls. \n\n\n • \n Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use. \n\n\n • \n Build grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate. \n\n\n • \n Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review and user-feedback loops. \n\n\n • \n Manage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs. \n\n\n • \n Implement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved. \n\n\n • \n Build clear APIs and integrate AI products with approved data, document, search and business systems. \n\n\n • \n Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps. \n\n\n • \n Write maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable. \n\n\n • \n Apply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed \n\n Initial Focus \n\n • \n End-to-end agentic AI features and reusable harnesses for Radar and other named R&D products. \n\n\n • \n A practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release. \n\n\n • \n Grounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs. \n\n\n • \n Interfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users. \n\n What Success Looks Like \n\n • \n R&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users. \n\n AI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliabili

\n Senior Risk Engineer \n London \n Up to £200,000 Base + Bonus \n \n This is a rare opportunity to join a technology-driven investment firm where engineering has a direct impact on investment decisions. You'll build risk intelligence tools used by Portfolio Managers and Risk teams to better understand exposures, performance, and opportunities across portfolios. \n \n The Company \n They are a global investment firm with a strong focus on technology, data and quantitative decision-making. Engineers work closely with front-office stakeholders in a collaborative environment that values ownership, innovation and high-quality engineering. \n \n The Role \n\n • Build and enhance cross-asset risk analytics platforms.\n, • Develop APIs, data pipelines and decision-support tools for investment teams.\n, • Translate risk and pricing models into scalable production systems.\n, • Work closely with Portfolio Managers, Risk Managers and Quant Researchers.\n, • Own systems end-to-end, from design through to production support.\n, • Contribute to AI-enabled analytics and risk intelligence initiatives.\n\n \n Your Skills & Experience \n\n • Strong experience in risk technology, software engineering or quant development within financial markets.\n, • Python or Java and SQL expertise.\n, • Experience building production-grade risk, pricing or trading systems.\n, • Knowledge of derivatives, Greeks, VaR, scenario analysis and market risk.\n, • Experience with APIs, distributed systems and data pipelines.\n, • Ability to investigate model outputs and communicate findings clearly.\n\n What They Offer \n\n • Competitive salary\n, • Comprehensive benefits package.\n, • Direct front-office exposure.\n, • Strong career progression opportunities.\n, • Collaborative culture with excellent work-life balance.\n\n

\n Martech EngineerLondon/Brighton (2 days per week) | Up to £55,000 + bonusLooking for a role that sits at the intersection of software engineering, data, AI, and digital marketing? This is an opportunity to join a specialist team building innovative tools and automation solutions used by both clients and internal marketing teams.The CompanyA global digital solutions business that combines technology, data, and marketing expertise to help organisations improve performance and drive growth. They have a strong focus on innovation, collaboration, and developing proprietary technology that enables smarter decision-making.The RoleYou will design, build, and maintain scalable tools across data, automation, and AI initiatives.Responsibilities include: \n\n • Developing proprietary products and internal tools\n, • Building API integrations and data pipelines\n, • Maintaining and improving existing applications\n, • Working closely with SEO, paid media, content, and analytics teams\n, • Identifying technical solutions to business challenges\n, • Supporting AI-driven products and automation workflows\n\n Your Skills & Experience \n\n • Strong commercial experience with JavaScript, TypeScript, and Node.js\n, • Experience working with cloud platforms, ideally GCP\n, • Experience building and maintaining APIs and serverless applications\n, • Understanding of digital marketing channels such as SEO, paid search, content, or paid social\n, • Ability to communicate effectively with technical and non-technical stakeholders\n\n Desirable: \n\n • BigQuery or similar data warehousing tools\n, • ETL/ELT platforms\n, • AI frameworks such as LangChain or CrewAI\n, • React or modern JavaScript frameworks\n\n What They Offer \n\n • Up to £55,000 salary\n, • Bonus scheme\n, • Hybrid working\n, • Wellbeing allowance\n, • Enhanced parental leave\n, • Study and volunteering days\n, • Exposure to AI, data, and marketing technology projects\n\n How to ApplyApply today to learn more about this Martech Engineer opportunity and the chance to work on impactful products at the intersection of engineering, data, and digital marketing. \n

\n Full Stack EngineerLondon (Hybrid, 2 days per week) | Up to £85,000Looking for a role where AI is more than just a buzzword? Join an AI-first engineering team building innovative products with modern technologies, agentic workflows, and genuine opportunities for progression.The CompanyThis growing technology business is building a sophisticated platform that helps users make smarter decisions through data-driven insights. Their engineering teams work in agile squads, combining modern software practices with AI-powered development workflows to deliver high-quality products at pace.The Role \n\n • Build and enhance web applications using React, JavaScript and TypeScript\n, • Contribute across the full stack with Java or Kotlin on the Spring ecosystem\n, • Use Claude and N8N to automate workflows and improve development efficiency\n, • Work with APIs, CI/CD pipelines, AWS, Docker and Kubernetes\n, • Collaborate with Product, Engineering and QA teams in an agile environment\n\n Your Skills & Experience \n\n • Strong commercial experience with React, JavaScript and TypeScript\n, • Back-end development experience with Java or Kotlin\n, • Experience using AI tools such as Claude or N8N within development workflows\n, • Knowledge of AWS, Docker or Kubernetes\n, • Strong communication skills and a collaborative mindset\n\n What They Offer \n\n • Up to £85,000 salary, with flexibility for exceptional candidates\n, • Hybrid working, 2 days per week in the London office\n, • 25 days annual leave plus carry-over option\n, • Enhanced parental leave\n, • Electric car, nursery, cycle-to-work and gym schemes\n, • Study support and professional development opportunities\n, • Mental health support and regular team socials\n, • Potential equity review after probation\n\n How to ApplyApply now to learn more about this Full Stack Engineer opportunity. \n

\n Marketing Automation EngineerYou will be responsible for building and enhancing the systems, automations, and data flows that support customer acquisition, conversion, and retention.Key responsibilities include: \n\n • Build and optimise automated customer journeys across email and digital marketing channels.\n, • Analyse customer and behavioural data to identify cohorts, opportunities, and areas for improvement.\n, • Develop customer re-engagement journeys based on website and purchase behaviour.\n, • Use SQL and BigQuery to interrogate and transform marketing and customer data.\n, • Design and maintain integrations between CRM, marketing, advertising, and business systems.\n, • Build and optimise conversion tracking and attribution frameworks.\n, • Develop marketing data feeds for advertising and remarketing platforms.\n, • Translate marketing requirements into scalable technical solutions and automations.\n, • Ensure data consistency and integrity across multiple customer touchpoints.\n, • Partner with marketing, data, and engineering teams to measure performance and optimise outcomes.\n, • Support experimentation and CRO initiatives through data, automation, and implementation.\n\n Your Skills & Experience \n\n • Strong commercial experience with JavaScript and Node.js.\n, • Advanced SQL skills, ideally including BigQuery.\n, • Experience working with Salesforce or similar CRM platforms.\n, • Strong understanding of customer data, segmentation, and behavioural analysis.\n, • Experience building automated customer journeys and lifecycle marketing programmes.\n, • Knowledge of marketing automation platforms and CRM workflows.\n, • Experience with API integrations and connecting multiple business systems.\n, • Understanding of conversion tracking, attribution, and performance measurement.\n, • Familiarity with remarketing and digital advertising ecosystems.\n, • Strong stakeholder management skills with the ability to translate business requirements into technical solutions.\n\n Desirable experience includes: \n\n • SendGrid, Klaviyo, or similar marketing platforms.\n, • AWS services, including serverless technologies.\n, • Event-driven architectures and workflow automation.\n, • Affiliate marketing platforms.\n, • Email deliverability optimisation.\n, • Attribution modelling or incrementality testing.\n, • Experience within regulated consumer-facing environments.\n\n What They Offer \n\n • High-impact role with direct exposure to senior leadership.\n, • Opportunity to shape marketing technology and customer engagement strategy.\n, • Exposure to advanced experimentation, CRO, AI-enabled workflows, and customer data initiatives.\n, • Collaborative culture with strong cross-functional partnership.\n, • Clear opportunity to influence business performance and drive measurable commercial outcomes.\n\n How to ApplyIf you're a Marketing / MarTech Engineer, Growth Engineer, CRM Engineer, or Marketing Automation specialist who enjoys combining technical expertise with commercial impact, apply today to learn more about this opportunity. \n

Principal Engineer | Financial Services | London | Permanent | Hybrid | up to £150k \n I'm working on an exciting opportunity for a Principal Engineer to build new digital fintech products from the ground up (Greenfield). \n This is a genuinely hands-on Principal role - you'll lead an engineering squad, shape architecture, make key technical decisions, mentor engineers and stay hands on engineering digital products. \n Required: \n 7-8+ years' software engineering experience, with experience leading as a principal, staff level or tech lead. \n Strong system design & technical leadership \n Full-stack experience \n Key Technologies: Java/Spring Boot, React/TypeScript and React Native, Azure (AWS or GCP is fine), Kubernetes, Terraform & CI/CD \n APIs, microservices & event-driven architecture. \n Production ownership & modern engineering practices. \n Experience using AI - integrated into the SDLC. \n The environment is seriously modern: Java, React/TypeScript, React Native, AKS, Kafka, Temporal, Databricks, Terraform, ArgoCD/GitOps, Azure AI Foundry & more. \n We're open to exceptional engineers from Banking, Financial Services and other regulated environments (a strong fit from a SaaS, technology, e-commerce will also be considered). If you're a Principal, Staff or Lead Engineer who wants to build new greenfield digital fintech products - I'd love to speak with you. \n

A prestigious international law firm is seeking a Legal Engineer to join its expanding Innovation team in London. This is a unique opportunity for an experienced, qualified lawyer who is passionate about the intersection of law and technology, particularly artificial intelligence \n Key responsibilities: \n\n • Engage with partners, associates, trainees, and knowledge lawyers across relevant practice areas to understand how matters are run and identify processes where AI can add significant value.\n, • Translate legal requirements into structured prompts, workflows, and playbooks that the firm's AI platforms can execute reliably.\n, • Redesign traditional legal work for an AI-first approach by going beyond current AI-enabled workflows to innovate new ways of working.\n, • Establish credibility as a hands-on expert on legal problems solved with AI such as drafting contractual provisions, analysing filings or briefs, knowledge retrieval, and matter management.\n, • Design, build, prototype quickly, test rigorously for reliability, and hand over robust workflows on the firm's AI platforms to knowledge lawyers for ongoing ownership.\n, • Lead the firm's efforts on AI quality assurance and benchmarking by developing rigorous evaluation frameworks and ensuring high standards are maintained.\n, • Run regular engagement sessions with knowledge lawyers and applied AI experts to keep them updated on product developments from the Innovation team.\n, • Spot common solution patterns across practice areas to deduplicate effort where similar tools or workflows are being developed independently.\n, • Partner with knowledge lawyers on practice translation by helping encode their expertise into actionable AI-driven solutions while linking their work across the firm.\n, • Advise on appropriate technology choices from the firm's tech stack for specific tasks by gathering feedback from stakeholders and acting as the voice of practice into product management decisions.\n\n Experience required: \n\n • Qualified lawyer (England & Wales or equivalent jurisdiction) with typically 5+ years' post-qualification experience at a top-tier firm; more junior candidates with relevant profiles are encouraged to apply.\n, • Substantive experience in Transactions & Advisory or Disputes at a top-tier firm with sufficient depth to discuss contracts or filings confidently with partners.\n, • Credibility among partners and associates demonstrated by your ability to hold meaningful conversations about contracts or deals on their merits while earning trust for process improvement suggestions.\n, • Curiosity about technology & artificial intelligence coupled with willingness to get hands-on with tools; no coding background required but comfort with prompts evaluations structured outputs essential.\n, • Direct recent experience using leading legal AI platforms (such as Harvey Legora Claude M365 Copilot) on real legal tasks including insight into their strengths weaknesses & practical application strategies.\n, • Track record of having shipped legal-tech adjacent products such as workflows playbooks evaluation sets internal tools prompt libraries or knowledge products rather than just theoretical designs.\n, • Comfort working collaboratively with product managers engineers vendors demonstrated by secondments tool roll-outs contributions outside traditional law roles or innovation team involvement.\n, • Strong structuring instinct enabling you to turn messy tacit ways of working into authorable testable shippable solutions that drive efficiency & clarity.\n, • Quality-minded discipline shown through rigorous testing before shipping designing robust evaluations & knowing when solutions require further refinement before deployment.\n, • Clear concise communication skills allowing you to translate complex concepts across disciplines comfortably engaging both senior partners & technical specialists.\n\n Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

\n Java Quant Developer (Programmer Software Engineer Java Python Fixed Income Bonds Rates Credit Equities Commodities Securities Munis Municipals FX Equity Derivatives Quantitative Analysts Analysis Asset Manager Buy Side Investment Management Fund Hedge Fund Finance Front Office Trading Asset Manager Banking Pre-Trade Risk Pricing PnL) required by our asset management client in London. \n You MUST have the following: \n\n • Excellent experience as a Java Developer/Software Engineer/Programmer\n, • Strong Java- strong design, architecture and build experience\n, • An understanding of Fixed Income whether rates or credit markets, equities, commodities or FX markets\n, • Good ability to work and collaborate with Front Office stakeholders such as traders, quants, researchers etc\n\n The following is DESIRABLE, not essential: \n\n • Buy-side- asset management, investment manager, hedge fund\n, • Pre-trade analytics, pricing or PnL analysis\n, • Derivatives\n\n Role: Java Quant Developer (Programmer Software Engineer Java Python Fixed Income Bonds Rates Credit Equities Commodities Securities Munis Municipals FX Equity Derivatives Quantitative Analysts Analysis Asset Manager Buy Side Investment Management Fund Hedge Fund Finance Front Office Trading Asset Manager Banking Pre-Trade Risk Pricing PnL ) required by our asset management client in London. You will work in a team of 6 global quantitative developers. This team is dedicated to government bonds (rates) and MBS Fixed Income quantitative analysis and researchers across the company and productionising their models. This is 80% Java and 20% Python. You don't need to have Python experience though. Fixed Income experience is advantageous but not essential. They would be happy with experience in equities, commodities or FX. Pre-trade risk or pricing as well as PnL knowledge is highly desirable. \n Hybrid working is 4 days/week. There is flexibility with hours to accommodate school runs etc. \n The company has aggressively adopted AI: ChatGPT, MS CoPilot and GitHub CoPilot and ClaudeCode are all available. There are no limitations on the use of tokens. \n Salary: £100-150k + 100% Bonus + 10% Pension (£200k - £300k total comp)