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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.

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. Prompt & Context Engineering:.

Our client is a digital and technology consultancy serving the public sector. \n Work on exciting public sector projects and make a positive difference in people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. \n As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technol... \n \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.

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.

Overview AI is already making a real impact at Chambers and Partners, with solutions running in production across our editorial, research, product and commercial teams. We’re now looking for a Chief AI Engineer to lead our AI engineering function, own the technical direction of AI across the business and shape the next stage of our AI transformation. \n This is a deeply technical leadership role. You’ll be part of the Senior Leadership Team and be the final technical authority on how we build, evaluate, deploy and run AI: the AI architecture, modelling choices, engineering standards and evaluation discipline the team works to. You’ll have taken AI systems end to end many times over, from ideation and discovery through to deployment, monitoring and continuous improvement, and you’ll stay close enough to the code to solve the hardest problems yourself. \n Alongside this, you’ll help set our AI strategy and roadmap, advise our Executive Leadership Team on where AI creates the greatest value, and represent Chambers as a credible voice on AI in the legal market. Around 70% of the role is hands-on technical leadership and delivery; around 30% is strategic. Main Duties and Responsibilities \n Technical leadership and delivery (c.70%) \n\n • Own the end-to-end lifecycle of our AI solutions, from ideation, discovery and scoping through experimentation, production deployment, monitoring and iteration, measuring their impact against agreed business outcomes. \n, • Act as the technical design authority for AI, setting direction across architecture, model selection, data and retrieval strategies, fine-tuning, evaluation and deployment, and making the hard calls on whether to build, buy or not use AI at all. \n, • Stay hands-on: prototype, review code, pair on the hardest problems and personally lead the design of business-critical AI systems. \n, • Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data Platform teams. \n, • Define and own evaluation frameworks for ML, LLM and GenAI outputs, covering accuracy, consistency, bias mitigation and regression testing, so that everything we release meets Chambers’ standards for rigour and independence. \n, • Establish production discipline across MLOps and LLMOps: experiment tracking, model registry, monitoring, drift management, observability and safe, structured and streamlined deployment. \n, • Lead, mentor and develop our AI engineering team, hiring strong engineers, raising the technical bar and creating an environment where people do their best work. Ensure high quality engineering practices, including code review and safe, structured and streamline deployment. \n, • Run delivery across multiple concurrent AI workstreams, managing cross-team dependencies with Product, Research, Commercial, Data and Technology teams. \n\n Strategic leadership (c.30%) \n\n • Shape and own the AI strategy and roadmap with the Chief Data and AI Officer, aligned with Chambers’ business and data strategies. \n, • Act as a senior adviser to the Executive Leadership Team on AI opportunities, risks and trade-offs, translating complex technical choices into clear, commercially grounded decisions. \n, • Establish prioritisation frameworks that balance innovation, research integrity, risk and commercial impact, and identify where AI can power new products, features and services. \n, • Partner with Research leadership to augment expert judgement with AI, improving the consistency, scalability and depth of our research outcomes. \n, • Keep Chambers ahead of developments in AI, evaluate and manage strategic partnerships with AI vendors and platforms, and represent Chambers externally as a credible voice on AI in legal market intelligence. \n\n Why you should apply \n This is a highly technical role with a seat on our senior leadership team. You won’t be advising on AI from the sidelines. You’ll sit alongside the leaders who set the direction of the business, bring a genuine engineering perspective to decisions about where we invest and how we compete, and see those decisions through to delivery. \n Few organisations can offer data like ours. More than 350,000 research interviews and surveys a year, and a deep, proprietary view of the global legal market, create problems that can’t be solved off the shelf. That’s a real chance to build AI that is genuinely differentiated, not a thin layer over someone else’s model, for a professional audience that relies on it being right. \n You’ll have the autonomy to set the standards, build the team and choose the approach, and the backing to make it happen. If you want senior-level influence without giving up the hard technical work, this is the role. \n Skills, Experience & Personal Attributes \n We’re looking for a Chief AI Engineer leader who has come up through data science, machine learning or software engineering and who combines deep modelling expertise with production engineering excellence. You’ll have taken many AI systems from ideation through to production and monitoring, and gone on to lead engineering teams and influence at senior leadership level. You’ll combine deep technical credibility with the gravitas to earn the confidence of engineers and senior leaders alike. \n You’ll bring: \n Essential \n\n • \n Significant experience in senior applied AI, ML or data science leadership roles, with a track record of owning AI end to end (ideation, discovery, experimentation, production deployment, monitoring and iteration) across multiple systems that delivered measurable business outcomes. \n\n\n • \n A data science foundation, applied for outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. \n\n\n • \n Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. \n\n\n • \n A deep understanding of how modern models are built, not only how they’re used: transformer architectures, pre-training and post-training methods (SFT, RLHF/DPO) and evaluation methodology. You will have fine-tuned models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. \n\n NLP depth on long-form professional text: class

\n We are looking for a Principal AI & Data Engineer to join our team in London, UK in a hybrid working mode. In this role, you will design, build and productionize enterprise-grade AI and GenAI solutions on Azure and Databricks platforms. You will develop scalable AI applications, intelligent agents and data-driven solutions powered by large language models and modern AI frameworks. The role requires hands-on expertise in AI data engineering, cloud technologies and GenAI adoption while driving innovation, reliability and scalability across enterprise environments. \n Responsibilities \n\n • Develop and evaluate AI, GenAI and Agentic AI solutions using enterprise AI platforms and frameworks\n, • Build and optimize Retrieval-Augmented Generation (RAG) applications, including embedding strategies, prompt engineering and evaluation processes\n, • Design, develop and deploy AI agents using frameworks such as LangChain, LangGraph, AutoGen and similar technologies\n, • Create scalable AI workflows using Databricks, MLflow, Azure AI Foundry and cloud-native services\n, • Build and maintain robust data pipelines using modern data engineering practices and streaming technologies\n, • Deploy AI applications and services using Azure OpenAI, Azure AI Foundry, Databricks AI tools and Docker\n, • Design and execute evaluation frameworks to measure model quality, accuracy, reliability and reproducibility\n, • Implement CI/CD pipelines, testing frameworks, code quality controls and GitHub-based development processes\n, • Collaborate with stakeholders to translate business requirements into scalable AI solutions\n, • Contribute to architecture decisions, technical roadmaps and backlog definition while supporting delivery from prototype to production\n\n Requirements \n\n • Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Computer Science or a related field\n, • 8+ years of experience delivering data engineering, machine learning or AI solutions in enterprise environments\n, • Strong AI Data Engineering expertise with experience building production-grade AI and GenAI systems\n, • Hands-on experience with Azure AI Foundry, Azure cloud services and Databricks AI technologies\n, • Deep understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions\n, • Strong experience with MLflow, GenAI evaluation frameworks and model benchmarking methodologies\n, • Advanced programming skills in Python and SQL with strong knowledge of data modelling and ETL/ELT processes\n, • Solid understanding of Delta Lake, Delta Live Tables, Unity Catalog, Spark Structured Streaming and large-scale data processing\n, • Experience with Azure Data Factory (ADF), Qlik Replicate and modern data architecture practices\n, • Excellent communication, stakeholder management, problem-solving skills and commitment to high-quality delivery\n\n Nice to have \n\n • Experience in commodity trading and supply operations, ideally within the energy sector\n, • Experience with Microsoft Copilot Studio, Databricks Mosaic AI, Agent Bricks or Genie\n, • Experience with LangGraph, AutoGen or other agent orchestration frameworks\n, • Familiarity with enterprise AI governance, security and compliance practices\n, • Experience leading technical teams, defining technical strategy and mentoring engineers\n\n We offer/Benefits \n\n • EPAM Employee Stock Purchase Plan (ESPP)\n, • Protection benefits including life assurance, income protection and critical illness cover\n, • Private medical insurance and dental care\n, • Employee Assistance Program\n, • Competitive group pension plan\n, • Cyclescheme, Techscheme and season ticket loans\n, • Various perks such as free Wednesday lunch in-office, on-site massages and regular social events\n, • Learning and development opportunities including in-house training and coaching, professional certifications, and courses\n, • If otherwise eligible, participation in the discretionary annual bonus program\n, • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program\n\n *All benefits and perks are subject to certain eligibility requirements

Entity: Technology Job Family Group: IT&S Group Job Description: Role Summary We are seeking an experienced Senior Data Engineer to design, build and operate scalable data platforms, pipelines and products that enable data-driven decision making across Finance. This role combines strong software engineering practices with modern cloud data technologies to deliver trusted, secure and high-quality data products. The successful candidate will work closely with business partners, product teams, architects, data managers and analytics specialists to transform complex business requirements into robust data solutions. They will lead technical delivery, drive engineering excellence and help establish modern data engineering practices across the organisation. Key Responsibilities Data Platform and Engineering • Design, develop and maintain scalable data pipelines and integrations., • Build and operate cloud-based data platforms, data products and analytical datasets., • Develop reusable frameworks, automation and engineering patterns to accelerate delivery., • Ensure data solutions are secure, performant, resilient and cost-efficient., • Implement CI/CD, automated testing, monitoring and observability across data platforms. Solution Design • Translate business requirements into data models, pipelines and technical solutions., • Design logical and physical data models supporting reporting, analytics, AI and operational use cases., • Collaborate with enterprise and solution architects to align solutions with strategic technology standards., • Evaluate new technologies and recommend improvements to existing platforms. Data Management and Governance • Support implementation of data governance, quality, lineage and metadata management practices., • Ensure data assets meet applicable regulatory, audit and control requirements., • Drive improvements in data quality and trusted data consumption. Leadership and Collaboration • Provide technical leadership across delivery teams., • Mentor and coach data engineers and development teams., • Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders., • Contribute to engineering standards, best practices and continuous improvement initiatives. Essential Skills and Experience Technical • Significant experience delivering enterprise-scale data engineering solutions., • Strong SQL and data modelling expertise., • Experience with cloud data platforms, with Azure experience preferred., • Experience building ELT/ETL pipelines and data integration solutions., • Strong software engineering practices, including source control, testing, CI/CD and automation., • Experience with big data, streaming and modern data architectures., • Knowledge of security, access controls and data governance requirements. What we expect: • Drive continuous optimization of data pipelines to improve performance and scalability, • Identify opportunities to reduce data volumes and optimize storage efficiency across the organization, • Lead initiatives focused on process efficiency and operational excellence, • Promote a data-driven culture by leveraging insights to support business decisions Preferred Experience • Finance, Treasury, Tax, FP&A or ERP data domains., • SAP, S/4HANA, Fiori or enterprise finance platforms., • Data products supporting AI, machine learning or generative AI use cases., • Experience with Databricks, Microsoft Fabric, Snowflake or comparable cloud data platforms., • Experience operating within Agile product teams. Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments..Job TitleMachine Learning EngineerLocationLondon. Full-time.Job DescriptionAre you passionate about cutting-edge AI and machine learning in digital services, and want to deliver positive real-world value to the UK? We are looking for aML Engineer to join our team and help solve a variety of interesting problems in the national security space.At BAE Systems Digital Intelligence, we work with a wide range of government customers, across defence, space, and government. In our national security AI team, we undertake a variety of projects covering exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets.As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions.A key aspect to the role is to balance rapid experimentation with production readiness, prototyping and validating ML approaches while ensuring successful experiments integrate seamlessly into operational systems. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you’ll be doing it for an organisation who makes a huge impact to the security of the UK.Core DutiesDesign and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applicationsLead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirementsTransition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoringBuild and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoringImplement robust experiment tracking, model versioning, and reproducibility practices with full audit trailsDesign feature engineering approaches and contribute to feature store developmentSupport production models through monitoring, performance analysis, and continuous improvementApply responsible AI practices, including model explainability and fairness assessmentPresent experiment findings and production outcomes to stakeholders, articulating operational and strategic valueMentor junior colleagues and share learnings across the teamAbout youYou will have experience in many of the following:Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlowStrong experience with AWS ML services (SageMaker, Lambda, S3) in production environmentsStrong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluationProven track record transitioning models from experimentation to production with appropriate governance and quality controlsExperience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control)Experience developing LLM/GenAI applications, including prompt engineering and RAG architecturesFamiliarity with LLMOps tooling such as LangSmith, LangChain, or LangGraphUnderstanding of model evaluation, validation techniques, and production monitoringExperience working in cross-functional teams from problem framing through to production deliveryAbility to communicate complex findings to non-technical audiences clearlyStrong problem-solving skills and knowing when AI is not the answerIt would be great if you also had experience in some of these, but if not we’ll help you with them:Experience with advanced LLM techniques: agents, tool use, and agentic workflowsExperience with vector databases (Pinecone, Weaviate, pgvector) for RAG applicationsExperience with feature stores (Feast, AWS Feature Store)Experience with containerisation (Docker) and orchestration (Kubernetes, ECS)Familiarity with Infrastructure as Code (Terraform, CloudFormation)Experience with data processing frameworks (Spark, Dask) for large-scale workloadsUnderstanding of data governance and compliance frameworksExperience working in regulated industries (finance, healthcare, or similar)Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.How we will support youWork-life balance is important; you can work around core hours with flexible and part-time workingAs many of our customers work predominantly in the office, we expect all of our staff to work at least 3 days per week in the officeYou’ll get 25 days holiday a year and the option to buy/sell and carry over from the year beforeOur flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and moreYou’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAEYou’ll be part of our company bonus schemeYou are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeingAbout our teamOur people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients.You’ll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We’ll do everything we can to ensure you have fun at work, and in social activities outside of it whether that’s virtually or in person, as conditions allow.You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team.We have a rich history of working within National Security. In fact, we have over 40 years’ experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions.More about BAE SystemsYou will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We’re a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You’ll get to work on a variety of different systems for different customers throughout your career with us. We’re passionate about Diversity and Inclusion in our workforce and the people you’ll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA.For more information please visit our website:Help us secure a connected world. Apply now and be inspired.Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day.By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. xrnqpay We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential.

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.Key Responsibilities:Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer developmentIndependently lead small research projects while collaborating with team members on larger initiativesDesign, run, and analyze scientific experiments to advance our understanding of large language modelsOptimize and scale our training infrastructure to improve efficiency and reliabilityDevelop and improve dev tooling to enhance team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications:Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills and a results-oriented mindsetExcellent communication skills and ability to work in a collaborative environmentCare about the societal impacts of your workPreferred Experience:Work on high-performance, large-scale ML systemsFamiliarity with GPUs, Kubernetes, and OS internalsExperience with language modeling using transformer architecturesKnowledge of reinforcement learning techniquesBackground in large-scale ETL processesYou'll thrive in this role if you:Have significant software engineering experienceAre results-oriented with a bias towards flexibility and impactWillingly take on tasks outside your job description to support the teamEnjoy pair programming and collaborative workAre eager to learn more about machine learning researchAre enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projectsAre working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of researchView research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insightsHave ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.Sample Projects:Optimizing the throughput of novel attention mechanismsComparing compute efficiency of different Transformer variantsPreparing large-scale datasets for efficient model consumptionScaling distributed training jobs to thousands of GPUsDesigning fault tolerance strategies for our training infrastructureCreating interactive visualizations of model internals, such as attention patternsAt Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:260,000—630,000 GBPLogisticsMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @ email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit /careers directly for confirmed position openings.How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. xrnqpay Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Senior, Forward Deployed Engineer (Agentic Automation for CMC R&D)About GSK Enterprise AIEnterprise AI is GSK’s centre of gravity for applied artificial intelligence. Check out the role overview below If you are confident you have got the right skills and experience, apply today. We pair forward deployed engineers and full-stack engineers with scientific, clinical, and business teams to build AI products that get used — not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients.GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We are committed to building a diverse and inclusive team — we welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma.Position Summary GSK’s Enterprise AI team builds AI solutions that prove value fast and scale to production. The Forward Deployed Engineer (FDE) is the engineer GSK sends in to find out whether an AI idea will work — embedded with business unit (BU) teams, proving ideas through proofs of concept (PoCs), proofs of value (PoVs), and minimum viable products (MVPs) at a days-to-weeks cadence, then handing the proven solution off to the Sr. Solutions Engineer for scale-up. The pattern is proven by AI-native companies — Anthropic, Palantir, OpenAI — and this role brings that model to GSK.This specific role sites in the Chemical Manufacturing & Control (CMC) area. This is the GSK function that turns a validated molecule into a reliably manufactured, quality-assured medicine; its mission is to get safe, effective, consistently manufactured medicines to patients, faster. Its current mission is to double New Product Introductions (NPIs).As a Senior Forward Deployed Engineer, you’ll be embedded in a team shaping how AI transforms GSK’s process development around the world. Most prototyping work is AI-augmented: AI coding assistants and multi-agent workflows handle the bulk of routine coding, freeing the FDE to focus on framing, judgement, and validation. The role works directly inside the customer’s business and emerges with working software and a defensible value hypothesis, not slideware. The FDE does not carry use cases through to long-term operations and partner with the Sr. Solutions Engineer is part of the role.This role will build agentic automation across the AI-native redesign of our process development in R&D. You will turn manual, repetitive workflows into agentic workflows covering data capture, analysis and experimental planning. You will work hand in hand with the data analytics team in process science and partner with the R&D Tech teams. You will foster decision making embedded inside the teams instead of wasting time in wider forums, to reduce time to impact. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you.Key Responsibilities This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: PoC / PoV / MVP DeliveryTake ownership of high-priority BU use cases from problem framing through to a working prototype, at days-to-weeks cadence, and form a defensible view on whether each should progress.Ship first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale.AI-Native EngineeringOperate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement.Use AI coding assistants as the default mode of building; provide judgement, course correction, and validation.Customer Embedding & HandoffEmbed with BU teams — attend standups, understand the domain, prototype against real data and real workflows.Package proven use cases cleanly for the Sr. Solutions Engineer — working code, architecture rationale, open risks, and scaling concerns.Governance, Standards & CoachingBegin Code Orange, Responsible AI, and Accountability Report conversations during prototyping — so the productionisation team does not inherit governance debt.Contribute reusable agents, prompt templates, and reference architectures to the organisation’s pattern library after each engagement.Form and defend kill/continue recommendations at the end of each engagement — presenting clearly to BU and Enterprise AI leadership.Coach BU engineers on AI-augmented ways of working while embedded, building BU capability alongside delivery outcomes.Why You!We are seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong Experience of full-stack or AI/ML engineering experience, including production deployments.Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar.Demonstrated ability to take ideas from sketch to working software at speed with R&D scientists as end users — startup, lab, or innovation-team background is ideal.Strong hands-on experience with agent frameworks and multi-agent orchestration, tool use and Model Context Protocol (MCP), and agent evaluation and tracing.Experience automating scientific or technical workflows with agents: data pipelines from lab and process systems, code generation for analysis, and human-in-the-loop review.Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar), or as a Customer Engineer / Solutions Architect at a hyperscaler.Experience in a life sciences R&D or process development setting, working directly with scientists.Experience in regulated industries (pharma, healthcare, financial services) and familiarity with good practice regulations (GxP), General Data Protection Regulation (GDPR), and Sarbanes-Oxley (SOX).Experience partnering with data analytics, data science, or process science teams to turn analytical models into shared, reusable products.Track record of contributing reusable engineering patterns back to a broader team.EducationBachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous.Ready to apply?If this role excites you and matches your experience, we would love to hear from you. Please submit your application and a short note telling us why you want to join and what you would bring to this role. We look forward to hearing from you. If you need adjustments during the process, tell us and we will support you.(Please take a personal copy of the Job Description, as this will not be available online post closure of the advert)Closing Date: 10th November 2026Working PatternThis is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available.Locations: 1) HQ Central London or2) Stevenage • This role can be temporarily be based at Stevenage location. However, the Company plans to relocate its offices to Ware, UK. The location of this role will therefore subsequently change to Ware, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.” #AGTech#LI-HybridWhat we valueYou are practical, inclusive and open to feedback. You bring technical understanding and strong empathy for users. You work in active voice and keep communication simple. You support colleagues and help teams make confident, evidence-based decisions. You want to grow your product and security skills while delivering outcomes that matter.What you will gainYou will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve healthcare outcomes.SkillsAI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receiveImportant notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. xrnqpay This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at SummaryLocation: UK – London – New Oxford Street; UK • Hertfordshire, • StevenageType: Full time

Forward Deployed EngineerWe're partnering with a leading investment firm that is transforming how investment teams leverage data, AI, and technology. Please make sure you read the following details carefully before making any applications. We are looking for a Forward Deployed Engineer (FDE) to sit at the intersection of engineering, data science, and investing, building production-grade solutions that directly influence investment outcomes.You'll work closely with portfolio managers, researchers, traders, and data scientists to identify opportunities, rapidly prototype solutions, and deploy scalable technology that creates a tangible edge for investment teams.What You'll DoPartner directly with investment professionals to solve complex business and research challenges.Design and build production-ready applications, workflows, and AI-powered tools.Transform ideas and prototypes into scalable systems used by front-office teams.Work across data engineering, software engineering, machine learning, and cloud technologies.Drive adoption of modern engineering practices and emerging technologies.Translate technical concepts into business impact for non-technical stakeholders.What We're Looking ForStrong software engineering experience with modern development frameworks.Experience building production-grade systems and end-user applications.Excellent problem-solving skills and a bias for action.Ability to work directly with business stakeholders and rapidly deliver solutions.Experience with cloud platforms, data pipelines, APIs, and AI/ML tooling.Strong communication skills and commercial mindset.Nice to HaveExperience in financial services, quantitative research, trading, or investment management.Exposure to LLMs, AI agents, NLP, or advanced analytics.Experience working in highly data-driven environments.If you're excited by the opportunity to work on some of the most exciting AI challenges in finance, leveraging cutting-edge technologies including Azure OpenAI, modern data platforms, and cloud-native engineering to deliver real-world impact for investment teams, then look no further. xrnqpay For the chance to build the tools that power better investment decisions, apply now to avoid disappointment.To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the roleAs a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy.ResponsibilitiesStrategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues.Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment.Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy.You may be a good fit if you have5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account ManagerA track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer deliveryExceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teamsStrong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholdersExperience designing scalable cloud architectures and integrating with enterprise systemsFamiliarity with common LLM frameworks and tools, or a background in machine learning or data scienceEnthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing prioritiesA love of teaching, mentoring, and helping others succeedA passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systemsThe annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:150,000—190,000 GBPLogisticsMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @ email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit /careers directly for confirmed position openings.How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. xrnqpay Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About 9fin9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.The OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers!Every day is different, but here's an example of the kind of things you'll work on:Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies.Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality.Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout 9fin.What Makes This Role DifferentThis role is focused on converting complex financial and legal documents into structured, reliable data. While experience with chatbots, retrieval systems, and general-purpose AI applications is valuable, the core challenge is building systems that can accurately understand legal documentation and extract the information that powers financial analysis and workflow automation.About YouThis role will be a great fit if you:Legal Document Intelligence: Deep experience working with complex legal and financial documents, including bond offering memoranda, credit agreements, indentures, court filings, and related transaction documentation.Information Extraction: Expertise in extracting structured data from long, complex documents, including financial terms, covenant provisions, definitions, parties, dates, thresholds, baskets, ratios, and transaction mechanics.Document Understanding & NLP: Strong understanding of document structure, section hierarchy, cross-references, defined terms, tables, exhibits, and other patterns common in legal and financial documentation.LLMs for Structured Extraction: Experience applying LLMs to high-precision extraction tasks, including schema-driven extraction, citation grounding, validation, and confidence scoring.Data Quality & Validation Systems: Ability to design review, verification, and reconciliation workflows that ensure extracted data is accurate, consistent, and auditable.Training Data & Annotation: Experience building labelled datasets, annotation frameworks, synthetic data generation, and evaluation sets for document extraction tasks.Retrieval & Context Engineering: Strong understanding of chunking, document segmentation, retrieval, and context construction for long-document reasoning and extraction workflows.Financial & Legal Domain Knowledge: Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts.Production ML Engineering: Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows.Strong proficiency in Python for production ready delivery.Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals!You have a strong product focus with a desire to understand the end-to-end impact of your solutions for our end users.Good knowledge of AWS’s AI infrastructure.BenefitsWe’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.Financial & InsuranceCompetitive Salary (our salary bands are benchmarked at the top end of the market)EquityPension (your minimum contributions are 4% with 9fin matching up to 7%)Private Medical InsurancePaid sick leave with Income Protection for long periods of illnessGroup Life Assurance Season Ticket Loan & Cycle to Work schemesTime off 25 holiday days per yearLocal public holidays (with the ability to exchange them for alternative days)Work abroad for up to 3 months a year1 month paid sabbatical after 5 years of serviceEnhanced parental leave & flexible working arrangements availableTraining & Culture Professional learning and development budgetAI experimentation budget of 800 (UK) per employee to trial AI toolsQuarterly team socialsSummer and Winter company social eventsHybrid Policy9fin is a hybrid company, and the office is a regular part of how we work. From January 2027, all employees will work from their designated 9fin office on Tuesdays and Wednesdays. Some teams may be asked to be in the office more often, where the nature of their work calls for it. For the rest of the week, you may work from wherever works best for you and your team. Your Talent Partner will share hybrid working details for this role.9fin is an equal opportunities employerAt 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. xrnqpay You might just be who we’re looking for — either for this role, or perhaps another.LocationLondonEmployment TypeFull timeDepartmentData & AI

Job ID: 11748Location: London, England, GBType: PermanentSalary: USD excellent salary, bonus, full bens and opportunity per yearPosted: 2026-10-28Senior Agentic AI Engineer. Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying. A fast-growing, engineering-led AI consultancy with industry recognised entrepreneur leadership is hiring Senior Agentic AI Engineers to design, build and run production AI systems for existing enterprise client base in retail, pharmaceutical, financial services and FMCG / Consumer Products.Permanent, remote first with some trips to office and clients.The opportunityOur client has more enterprise AI work than it can currently staff and is building out its permanent engineering team. You will be the hands-on engineer in a small, senior client delivery team, working alongside a consultant and a delivery lead.Together you take a loosely defined business problem through to a working, production-grade AI system that is safe, observable and maintainable. Evaluation, guardrails and monitoring are built in from day one. You will also help shape engineering standards and the reusable patterns the wider team builds on.This is a senior individual contributor role for someone who still loves building, not a step into management.What you’ll doAgentic and AI systems engineeringDesign and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loopsBuild multi-agent systems covering planning, delegation, tool use, safety constraints and monitoringBuild retrieval pipelines: embeddings, vector stores, RAG and semantic searchApply knowledge modelling (ontologies, knowledge graphs) to improve reasoning and data alignmentIntegrate AI systems with enterprise platforms through APIs, tools and connectorsSet the technical direction on your engagements and shape the architecture of client solutionsDiscovery and solution designTurn ambiguous business needs into clear, practical engineering approachesAssess feasibility across data, systems and architectureHelp shape use cases with consultants and explain clearly how a solution will workWork with client domain experts to understand edge cases and operational requirementsProduce lightweight technical documentation, diagrams and decision recordsQuality, reliability and AI operationsImplement evaluation frameworks and safety checks across model and agent behaviourBuild monitoring, logging, tracing and incident-handling patternsApply governance, risk and compliance principles to AI deploymentsSupport release cycles, environments and operational readinessOwn reliability, reproducibility and performance benchmarksBuilding team capabilityTurn what you build into reusable agent patterns, templates and starter kitsShare new research, frameworks and techniques with colleaguesCoach peers and influence coding standards and architectural practiceWhat you’ll bringEssential6 to 8 years in software or application engineering, AI engineering or applied data engineeringStrong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector storesPractical experience building multi-agent systems, agent orchestration or MCP-style tool patternsStrong Python, with a track record of production-grade workflowsExperience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or AnthropicWorking knowledge of semantic modelling, ontologies or knowledge graphsAbility to turn open-ended business problems into working prototypes quicklyComfortable in client-facing delivery, ideally within a consultancyDesirableDomain experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial servicesDeeper ontology or knowledge graph expertiseExperience with LLM evaluation and observability toolingStrong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built are very welcomeWho thrivesSenior and genuinely hands-on, with plenty of energy for buildingSelf-starting and entrepreneurial, with a bias for action and ownershipCalm and structured with ambiguity, reasoning from first principlesA builder who prototypes, iterates and shipsA clear communicator who can simplify complex systems for clients and colleaguesCollaborative and low ego, at home in small senior teamsRigorous about safety, reliability and trust in AI systemsCurious and quick to learn, keeping pace with new tools and researchAbout StaffworxStaffworx is a UK-based specialist IT and consulting recruitment firm placing permanent, contract, interim and fractional talent across AI and machine learning, software engineering, data, cloud and senior consulting. We partner with software vendors, consultancies, fintechs and global systems integrators across the UK and EMEA, with growing activity in the US.For clients, we focus on quality over volume: a small number of well-screened candidates benchmarked against the brief, clear feedback loops and same-day responses. For candidates, we offer honest market insight, confidential conversations and introductions to roles that genuinely match your experience and ambitions. xrnqpay Whether you are scaling an AI engineering capability or exploring your next move in agentic AI, we would be glad to help.

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a principal machine learning or AI engineerto be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: • Gen AI/ML technology implementation with business and product owners, • Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance, • Lead and support other enterprise-level AI exploration tools and capabilities, • Provide guidance and support for safe development and deployment of AI What We Offer: • This will be a high impact role with significant visibility where the candidate will work on some flagship Fitch products, • The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science, • Fitch promotes an excellent work culture and is known for providing a good work life balance We’ll Count on You To: • Work closely/as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents and data science solutions. Ensure sharing best practices and learnings with other squad members., • Design and spearhead the development of Gen AI, AI Agents and MLOps platforms, applications, and solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance., • Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads to apply the appropriate standards., • Keep abreast of the latest vendors across different areas of emerging technologies and actively participate in vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform., • Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business, • Develop and deploy machine learning and gen AI solutions to meet enterprise goals and support experimentation and innovation., • Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals., • Designs and develops scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements., • Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions, • Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows., • Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems What You Need to Have: • Work experience as a ML or AI engineer (5+ years), • Prior experience developing production quality Python is essential, • Deep understanding of Agentic AI systems and multi-agent architectures, • Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines,, • Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization), • Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s., • Experience building/enhancing search and information retrieval systems, • Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc., • Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc., • Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field What Would Make You Stand Out: • Passionate about the power of data and predictive analytics to drive better business outcomes for customers, • Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment, • Familiarity with credit ratings agencies, regulations, and data products around the world, • Outstanding written and verbal communication skills, • A champion of good code quality and architectural practices., • Strong interpersonal skills and ability to work proactively and as a team player Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch and we invite you to join us on our journey. For more information please visit our websites: | | | Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-KN1 #LI-GROUP #LI-HYBRID

Senior MLOps Engineer London (Hybrid) | £75,000 - £95,000 + Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.The CompanyA growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.The Role • Own and develop the MLOps infrastructure supporting AI services., • Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect., • Deploy and manage ML workloads on Kubernetes and cloud platforms., • Implement CI/CD, observability, and monitoring across production systems., • Develop infrastructure using Terraform, Bicep, or similar IaC tools., • Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience • Strong Python software engineering skills., • Commercial MLOps experience in production environments., • Hands-on Kubernetes expertise., • Experience with workflow orchestration platforms., • Infrastructure as Code and CI/CD experience., • Understanding of production ML, NLP, or AI systems.

Algorithmic Trading Developer Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. Persönliche Daten Land Vereinigtes Königreich Stadt London Art der Anstellung Professional Arbeitszeit Vollzeit Vertragsart Unbefristet Offene Stellen 1 Beschreibung & Anforderungen For our Innovation & Technology department in London we are looking to hire a:Algorithmic Trading Engineer, full time, LondonInnovation & Technology @ BerenbergIn an era where digitalisation and modern IT infrastructure is revolutionizing banking, we are shaping a technology-driven bank in which you as an IT professional will work closely with our business units. Our technology teams offer you an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications.Your Role in the team:As part of Berenberg’s expansion in electronic trading, the algorithmic trading team is looking for a delivery-focused engineer to develop trading engines, associated strategies and real-time trading desktops. This role contributes to both algo strategy design and the build-out of high-quality, real-time systems used for trading algo orders and liquidity seeking.What will you do?Design and build high-quality Java engines for trading algo orders and liquidity seekingDevelop algorithmic trading engines, associated strategies and supporting desktop toolingContribute to algo strategy design as well as the build-out of real-time trading enginesBuild real-time trading desktops using technologies including ReactDevelop data analytics, storage and processing capabilitiesWho are we looking for? A strong Java engineer who writes performant, well-designed real-time server codeSolid understanding of Equity market trading in EuropeGood problem-solving skills with close attention to detailA keen interest in understanding the wider systems that form part of the trading stackPassion for continuous improvement and creativityA pro-active, collaborative approach when working with other Berenberg Investment Banking engineering teamsCommitment to industry and Berenberg Investment Banking engineering best practicesExperience in the equity sell-side trading industry would be desirableExperience with Kubernetes and Docker would be desirableExperience with React and building real-time web pages would be desirableA good understanding of the regulatory environment relevant to the role would be beneficialWhat we offer you: Private pension plan - 10% of base salary contribution by BerenbergGenerous 30 day holiday allowancePrivate Health InsuranceLife Insurance schemeFlexible working hoursEnhanced parental leave policiesEmployee Assistance Programme offering counselling sessions related to mental health, financial wellbeing and other topicsApply online now to join our team – we look forward to receiving your application!We are a leading European private bank, with over 430 years of experience and deep-rooted history, but we are still shaping and heavily investing in our future. Our progress and evolution are driven by our people. We encourage them to try new approaches, voice their opinions and achieve success in their own way.We provide opportunities for them to develop their talents, explore different career paths and achieve their full potential. We’re an ambitious, forward-looking business, backed by centuries of tradition and built on innovation. You’ll find a culture that encourages people to think independently, act entrepreneurially and challenge the status quo.We place great importance on working on site, as we believe that being together in the office not only fosters creativity and efficiency, but also strengthens networks and builds trusting, collegial relationships. For us, this forms the foundation for productive and successful work. Together we collaborate to shape our business and fulfil our ambitious goals. We welcome you to join us in our commitment to always do the right thing for our people, clients and our business – Our future is where you take us!We will only accept applications submitted through our online application management system on the website.Berenberg is an Equal Opportunities Employer and prides itself on being a modern, dynamic and internationally orientated organisation. We value the rich diversity, skills and abilities and creative potential that people from differing backgrounds and experiences bring to the workplace. Every employee plays a vital role in providing quality service to all our customers and helping to create and inclusive working environment, where everyone can realise their full potential. We’re committed to finding reasonable accommodations for candidates who require adjustments during our recruiting process. xrnqpay Please contact us directly on to discuss.

Job Title: Data Engineer with AI knowledge Make sure to apply with all the requested information, as laid out in the job overview below. • Associate ManagerSalary: Competitive salary and package (Depending on level of experience)Locations: London, Manchester, Birmingham or Bristol (must be willing to travel to client sites throughout the UK on an ad hoc basis) Please Note: To be eligible for this role, you must hold active DV clearanceThe above information relates to a specific client requirementAccenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEOKey responsibilities · Deploy machine learning models to production and implement measures to monitor their performance · Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice · Define, document and iterate data mappings based on concepts and principles of data modelling · Re-engineer data pipelines to be scalable, robust, automatable, and repeatable · Navigate, explore and query large scale datasets · Build processes supporting data transformation, data structures, metadata, dependency and workload management · Identify and resolve data issues including data quality, data mapping, database and application issues · Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems · Deliver high quality implementation and documentation for critical functionality · Deliver code, unit tests, feature tests, stubs and integration tests. · Operate in an agile environment as part of a scrum team and participate in sprint rituals · Work with team members to understand designs, functional requirements and triage issue · Stay engaged with the latest technological developments, especially in the fields of generative AI Qualifications We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below. · Strong proficiency in Python · Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation) · Strong understanding of data modelling and system architecture · Demonstrable experience on at least one AI/ML project · Knowledge of common machine learning frameworks and models · A good understanding of approaches to monitoring ML models in production · Experience leading a team and decision making skills, are essentialAs a technology consultancy, we look for people who can deliver both exceptional technical solutions and work as true partners to the organisations we support. To do this you must be able to: · Communicate effectively verbally and in writing, demonstrated through: o Effectively explain complex technical solutions to a non-technical audience o Writing meaningfully to deliver clear information, and guidance o Giving impactful presentations, articulating clearly key points · Demonstrate critical thinking by: o Analysing and evaluating information o Using information gathered to present solutions and reach decisions o Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems· Work in partnership with others to: o Effectively manage both internal and external stakeholders to ensure synergy o Collaborate meaningfully with all parties to ensure outcomes are reached effectively Whilst having experience in a consultancy is beneficial, demonstrable experience in working with clients/external partners in other settings will always be considered. xrnqpay What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Equal OpportunitiesAccenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

Principal Software Engineer, Global Public Sector Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Our core work consists of:Creating custom AI applications that will impact millions of citizensGenerating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AIWe are hiring a Principal Engineer to join a small team of our most senior engineers who take on the problems no one else can. You will work at the earliest stage of our engagements: shaping the technical approach with clients, defining the technology we build on, and turning ideas into working prototypes fast. You will step in when a project is stuck or a problem is unusually hard, and turn what you learn in the field into shared capabilities every team can build on.This is a very senior, hands-on role. Our engineering organisation is young, so mentoring is a core part of the job: you will raise the bar for how we design, build and deliver, and grow the next generation of technical leaders around you. The role is based in London.At Scale, we’re not just building AI solutions, we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.You will:Take on the hardest technical problems across our programs, stepping in where projects are stuck or the path forward is unclearLead the technical side of early engagements: work with clients to scope problems, shape proofs of concept and keep the scope needed to prove value as small as possibleBuild working prototypes quickly, from AI agents and evaluation pipelines to data and knowledge systems, and take the most promising ones to productionDefine the technology and architecture our solutions are built on, keeping them cohesive, secure and reusable across clientsMentor engineers across a young organisation through pairing, design and code reviews, and set the bar for engineering excellencePartner with Directors, VPs and client executives to navigate high-stakes business and technical trade-offs, including travel to client sites as engagements requireTurn patterns from the field into reusable capabilities, contributing components back to our core platform so every engagement starts further aheadLead from the front on agentic engineering, both in the AI systems we build and in how our teams use coding agents day to day, and push the boundaries of what’s possible with AIIdeally you’d have:A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics or a related quantitative field (or equivalent practical experience)10+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++5+ years of experience applying AI/ML in production environments, such as building generative/agentic AI applications, RAG systems or evaluation pipelinesStrong problem-solving skills, with a track record of taking ambiguous, early-stage problems from a blank page to a working prototype and into productionDeep expertise in system design and architecture, including experience with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)Experience mentoring engineers and raising the technical bar of a team or organisationComfort working directly with clients, from their engineering teams to senior executivesExcellent written and verbal communication skills to collaborate effectively in a cross-functional environmentNice to haves:Past experience in a forward deployed engineering roleExperience working at a startup, particularly as a founding engineerExperience building and deploying large-scale AI solutionsExperience delivering technology programs for governments or regulated industriesExperience deploying solutions on-prem or in customer-controlled environmentsCurrent or previous UK government security clearance (e.g. SC or DV)PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst& Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. xrnqpay Please see our privacy policy for additional information.

Job Role: Customer AI EngineerTeam: Song AI & Data – AI & Modelling Craft, UK&ILocation: London / ManchesterCareer Level: Consultant (L9)We AreAccenture Song accelerates growth and value for our clients through sustained customer relevance. Is this your next job Read the full description below to find out, and do not hesitate to make an application. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate efficiently and sustainably through the unlimited potential of imagination, technology and intelligence.Visit us at: The TeamWithin Accenture Song sits AI & Data, the practice that builds the data-led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation.You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating AI products that deliver measurable business value.The RoleAs a Customer AI Engineer, you will design, build and deploy machine learning, generative AI and agentic AI solutions that help our clients better understand, serve and grow their customers. This is a hands-on engineering role where you will work across the full delivery lifecycle, from understanding the business problem and shaping the solution through to deployment, monitoring and continuous improvement.Your work could include building a retrieval-augmented generation solution that helps customer service agents access the right information, developing an agentic workflow that automates campaign planning and optimisation, productionising recommendation and personalisation models, or creating customer intelligence solutions that power segmentation, propensity, next-best-action and decisioning capabilities.You will work in multidisciplinary teams alongside data scientists, architects, engineers and client stakeholders. The problems you work on will often be ambiguous at the outset, requiring you to test assumptions, experiment quickly and iterate towards solutions that are scalable, reliable and ready for production.This role requires strong technical curiosity and a builder mindset. You will be expected to stay current with developments in machine learning, generative AI and agentic systems, while applying sound engineering principles to create solutions that are secure, maintainable and effective in real-world environments.You will also work directly with clients, helping them understand how AI solutions work, what value they can create and the practical considerations involved in deploying them successfully. Whether building a personalisation model, deploying a customer service agent or creating a new customer decisioning capability, your focus will be on delivering measurable customer and business outcomes.What You Will DoDesign, build and deploy AI-powered tools, services and applications end to end, from problem definition through to live service and iteration.Develop generative AI solutions using prompt and context engineering, coding, retrieval-augmented generation, fine-tuning and applying evaluation techniques.Implement and optimise agentic AI workflows and multi-step reasoning pipelines, integrating them with enterprise systems and data sources.Build, train, evaluate and deploy machine learning models, and define the approach for running and monitoring them in production.Break complex problems into smaller, testable components, and balance speed of experimentation with security, robustness and maintainability.Run experiments to test new approaches and techniques, and apply what you learn to the solutions you are building.Translate business problems into AI solutions with clear and measurable value, and communicate technical concepts to client stakeholders and non-technical audiences.Document patterns and build reusable assets and best practices that can be applied across the AI & Modelling Craft.Contribute to capability building and knowledge sharing across the Song AI & Data practiceWhat’s In It For YouOur Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:25 days of leave per year plus 3 extra volunteering days for charitable work of your choice.Family-friendly and flexible work policies.Attractive pension plan with financial wellbeing support and resources.Private healthcare insurance plan and Mental Wellbeing support.Employee Assistance Programme, Career Development and Counselling.A range of generous Parental Leave offerings.#LI-EUSNGCR01About AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services, creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.What We Are Looking ForProduction generative AI experience. Experience delivering generative AI and LLM-based solutions into production environments, rather than experiments and proofs of concept alone. You have hands-on experience with current LLM tooling such as Claude, GPT or Gemini.Advanced Python and software engineering. You write clean, production-grade code rather than scripts, with a good working knowledge of object-oriented design, asynchronous processing, packaging and automated testing.Generative AI and agentic development. Practical experience with prompt engineering, retrieval-augmented generation pipelines, context management, embeddings and vector databases, and with agentic frameworks such as LangChain, LangGraph or AutoGen.Customer domain expertise. Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges. You can engage confidently in discussions about customer and business challenges and understand how AI creates measurable value for both customers and organisations.Machine learning foundations. Experience developing, training, evaluating and deploying machine learning models, and understanding when a traditional model is a better answer than an LLM.Backend and cloud engineering. API and microservices development using FastAPI or equivalent, and experience deploying and managing AI and machine learning workloads on Azure, AWS or GCP.Engineering discipline and MLOps. Version control, CI/CD pipelines, model versioning, and monitoring solutions once they are running in production.Delivery track record. Demonstrated end-to-end delivery, from problem definition through to a deployed and improved solution. You are comfortable working with incomplete requirements and can create clarity through the work itself.Communication and collaboration. Strong analytical and problem-solving skills, the ability to explain technical concepts to senior client stakeholders, and fluency in English working in global, cross-functional teams.Preferred:Experience applying AI to customer, marketing, commerce, sales or service challenges.Experience with natural language processing, computer vision or multimodal AI models.Knowledge of Responsible AI, guardrails and safety practices in production environments.Familiarity with Snowflake, Databricks or similar data platforms.Consulting or client-facing delivery experience. xrnqpay A bachelor’s or master’s degree in computer science, data science, engineering or a related field.

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Considering making an application for this job Check all the details in this job description, and then click on Apply. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in.SharkNinja is looking for an enthusiastic Mechanical Systems Engineer to join the Systems Engineering group within Shark & Ninja Engineering. You'll identify key system-level requirements, prototype and test to fill gaps where requirements are unclear, align with cross-functional teams, and iterate as projects evolve through development.Here are some of the EXCITING things you'll get to do:Drive product definition by communicating system functions and requirements across disciplinesBuild proof-of-concept prototypes with microcontrollers and 3D-printed designs to shape early product directionGuide engineering, electrical, and marketing teams on tradeoffs within complex thermal and electromechanical productsDevelop unique product design solutions for Shark & Ninja products sold globallyDefine, design, build, and test new products across the full lifecycle within a multi-disciplinary teamWork hands-on in the lab to evaluate, test, and fix design prototypes and production systemsInterpret test results and feed findings back into product improvementATTRIBUTES & SKILLS:BS or MS in Mechanical Engineering5+ years of experience in electro-mechanical systems engineeringExperience programming microcontrollers — reading sensor data and controlling actuators (motors, LEDs)3D CAD modeling experience (CREO or SolidWorks preferred)Familiarity with 3D printing and production processes such as injection moldingStrong grasp of mechanical engineering fundamentals and DFM manufacturing techniquesPreferred: Experience designing/testing consumer products, electromechanical devices, or small appliances; strong analytical skills and ownership of problem resolution; hands-on machine shop/fabrication skills; electronics (analog/digital) and test equipment knowledge; comfort working fast-paced and switching gears; passion for great products.Our CultureAt SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.What We OfferWe offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinjaOutrageously Extraordinary SharkNinja Candidate Privacy NoticeFor candidates based in all regions, please refer to this Candidate Privacy Notice.For candidates based in China, please refer to this Candidate Privacy Notice. xrnqpay For candidates based in Vietnam, please refer to this Candidate Privacy Notice.We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at

Our vision is to give everyone the belief they can make their move. Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market. Location: London (Hybrid, 2 days per week in the office) Reporting to: Data Engineering Manager Help shape the future of data at Rightmove At Rightmove, our vision is to give everyone the belief they can make their move. Millions of people use our platform every month, generating data that powers better experiences for consumers and customers across the property market. We're looking for a Senior Data Engineer II to play a leading role in shaping the data platform that underpins the UK's largest property marketplace. You'll combine deep technical expertise with strategic thinking to build scalable, reliable data infrastructure while influencing how data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition to AI-Assisted Data Engineering and should have solid experience in this area. A note from your future manager: "This role architects and builds how our data platform, transformation layer, and processing frameworks work together at scale, so the whole business can build on solid ground."What you'll be doing Lead the design and evolution of Rightmove's data platform, making key architectural decisions that support long-term scalability, reliability, and performance Own the architecture, design and build of shared platform capabilities for data ingestion, transformation, orchestration, and processing across batch and real-time workloads. Own the integration strategy across tools such as dbt, Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering and AI-powered workflows, agents and automations Contribute to the data platform roadmap, identifying opportunities for improvement and influencing future investment decisions. Take ownership of growing the team’s technical capability through mentoring, structured feedback, and leading by example, and help engineers at all levels develop What we're looking for Significant technical leadership in data platform engineering roles, with a track record of leading complex technical initiatives to completion without needing fully formed requirements Strong architectural expertise across modern data & AI platforms, including data ingestion, processing, storage, and transformation. Genuinely cares for the growth and development of engineers around them, investing in mentoring, creating a culture of technical excellence, and supporting others Hands on experience transitioning to an AI-native Data Engineering landscape A strong Python and SQL engineer with experience using dbt, Spark and Terraform Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling, lakehouse patterns, and the governance and operational setup of tools like dbt, and applies data security and GDPR principles in platform-level architectural decisions Experience building and operating production-scale data pipelines, balancing performance, reliability, and cost efficiency. A collaborative leadership style, with the ability to influence technical direction, mentor others, and build alignment across teams. Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Our Approach to AIAt Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.Life at RightmoveDespite our growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include:We create value…by delivering results and building trust with partners and consumers.We think bigger…by acting with curiosity and setting bold aspirations.We care deeply…by being real, having fun, and valuing diversity.We move together…by being one team • internally collaborative, externally competitive.We make a difference…by focusing on delivering measurable impact.We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 89% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!What we offerCash plan for dental, optical and physio treatments.Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.Contributory stakeholder pension.Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.Competitive compensation package.Paid leave for maternity, paternity, adoption & fertility.Travel Loans, Bike to Work scheme, Rental Deposit Loan.Charitable contributions through Payroll Giving and donation matching.Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply • full details will be shared during the recruitment process.As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. xrnqpay By applying, you confirm that you are aged at least 18 or over and that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.