What We Are Looking For As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Key Responsibilities Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks. Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats. Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience. Apply innovative testing methodologies to ensure state-of-the-art security practices. Document all red team activities, findings, and recommendations with precision and clarity. Requirements Must-Have Proven track record in AI vulnerability analysis. Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks. Minimum of 5 years of experience in offensive cybersecurity, with a focus on cloud and API security. Familiarity with agentic frameworks and hands-on experience in agentic development. Proficiency in Python. Exceptional analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment. Nice-to-Have Bachelor's or Master's degree in Computer Science, Information Security, or a related field. Demonstrated experience building production-quality pipelines and automations. Hands-on experience with machine learning development frameworks and environments. Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522). Certifications or background in DevOps/ML domains. Webint / OSINT experience. About ActiveFence ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Jan 01, 2026
Full time
What We Are Looking For As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Key Responsibilities Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks. Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats. Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience. Apply innovative testing methodologies to ensure state-of-the-art security practices. Document all red team activities, findings, and recommendations with precision and clarity. Requirements Must-Have Proven track record in AI vulnerability analysis. Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks. Minimum of 5 years of experience in offensive cybersecurity, with a focus on cloud and API security. Familiarity with agentic frameworks and hands-on experience in agentic development. Proficiency in Python. Exceptional analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment. Nice-to-Have Bachelor's or Master's degree in Computer Science, Information Security, or a related field. Demonstrated experience building production-quality pipelines and automations. Hands-on experience with machine learning development frameworks and environments. Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522). Certifications or background in DevOps/ML domains. Webint / OSINT experience. About ActiveFence ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
J OB P ROFILE DESCRIPTION M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection).Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker.Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language.We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community.Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost).Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That's why we've been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see .
Jan 01, 2026
Full time
J OB P ROFILE DESCRIPTION M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection).Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker.Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language.We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community.Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost).Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That's why we've been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see .
Octopus was founded with a mission to use technology to accelerate us towards a low carbon future. That's why we created Kraken - our own technology platform from scratch which now serves over 70 million households and is a core reason why Octopus is the number one energy supplier in the UK. We do it by hiring clever, curious, and self driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy. We have been using GenAI in live, customer facing environments since 2022, including one system that creates tens of thousands of high quality emails for our Energy Specialists, combining our deep knowledge of the energy industry and the Octo communication style with customer specific data from Kraken. We are now looking for a Senior AI Engineer. You will take ownership of building and scaling the systems that allow Octopus teams to use Generative AI models (LLMs, RAG, agents). This may take the form of a platform, shared services, or other scalable infrastructure. You will work with a cross functional team to build out flagship AI projects and will continue to develop the best practice for how we work with AI at Octopus. You'll report into the Head of AI and work on developing solutions that genuinely move us closer to Net Zero in a company passionate about building great technology to change the way customers use energy. You'll have wide open problems to solve, so you'll need to be comfortable with ambiguity, figuring out an approach and validating it fast. What You'll Do Design and Develop AI Platform Services - Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams. Knowledge Base Development - Build and maintain knowledge retrieval systems including embedding generation, chunking, and strategies for database management. AI Ops, evals and observability - Setting up frameworks for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage). Centre of Excellence - Act as a centre of excellence for the whole business in the technical side of AI and LLMs usage, setting best practices and accelerating adoption. Context Engineering - Design systems for prompt assembly: Create prompt templates, system prompts and guidelines for platform users. Governance and Guardrails - Create governance layers for implementing PII redaction, prompt filtering etc. What You'll Have Deep Understanding of GenAI - 2+ year experience of working with LLMs and using techniques such as tool calling, agentic workflows, finetuning and reinforcement learning. Data Product Development - 5+ years of experience building Python based applications and/or data products, with hands on work in data intensive and machine learning systems. GenAI Application Development - Hands on experience of building AI applications which have been successfully deployed into production. AI model evaluation and observability - Experience of different ways of evaluating AI models and applications. Implementing logging, tracing, and monitoring in systems. Context Engineering and Knowledge Grounding - Experience of optimising and grounding GenAI models and applications through prompt design, RAG and knowledge base integration. Software Development Practices - Strong grounding in Git, testing, CI/CD frameworks. Ability to thrive in a fast moving environment - Dealing with ambiguity, setting clear priorities, and translating ideas into actionable plans. It would be great if you had Backend Development - Experience designing and building applications and services that encapsulate business logic, data and information flows and connect AI models into wider applications. Pipeline Design and Build - Experience integrating different types of databases and building and optimising data pipelines. Vector Databases and Knowledge Graphs - Familiarity with graph and vector databases such as Pinecone and Neo4J. Javascript - Familiarity with Javascript, particularly within backend build. Why else you'll love it here Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customize your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Jan 01, 2026
Full time
Octopus was founded with a mission to use technology to accelerate us towards a low carbon future. That's why we created Kraken - our own technology platform from scratch which now serves over 70 million households and is a core reason why Octopus is the number one energy supplier in the UK. We do it by hiring clever, curious, and self driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy. We have been using GenAI in live, customer facing environments since 2022, including one system that creates tens of thousands of high quality emails for our Energy Specialists, combining our deep knowledge of the energy industry and the Octo communication style with customer specific data from Kraken. We are now looking for a Senior AI Engineer. You will take ownership of building and scaling the systems that allow Octopus teams to use Generative AI models (LLMs, RAG, agents). This may take the form of a platform, shared services, or other scalable infrastructure. You will work with a cross functional team to build out flagship AI projects and will continue to develop the best practice for how we work with AI at Octopus. You'll report into the Head of AI and work on developing solutions that genuinely move us closer to Net Zero in a company passionate about building great technology to change the way customers use energy. You'll have wide open problems to solve, so you'll need to be comfortable with ambiguity, figuring out an approach and validating it fast. What You'll Do Design and Develop AI Platform Services - Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams. Knowledge Base Development - Build and maintain knowledge retrieval systems including embedding generation, chunking, and strategies for database management. AI Ops, evals and observability - Setting up frameworks for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage). Centre of Excellence - Act as a centre of excellence for the whole business in the technical side of AI and LLMs usage, setting best practices and accelerating adoption. Context Engineering - Design systems for prompt assembly: Create prompt templates, system prompts and guidelines for platform users. Governance and Guardrails - Create governance layers for implementing PII redaction, prompt filtering etc. What You'll Have Deep Understanding of GenAI - 2+ year experience of working with LLMs and using techniques such as tool calling, agentic workflows, finetuning and reinforcement learning. Data Product Development - 5+ years of experience building Python based applications and/or data products, with hands on work in data intensive and machine learning systems. GenAI Application Development - Hands on experience of building AI applications which have been successfully deployed into production. AI model evaluation and observability - Experience of different ways of evaluating AI models and applications. Implementing logging, tracing, and monitoring in systems. Context Engineering and Knowledge Grounding - Experience of optimising and grounding GenAI models and applications through prompt design, RAG and knowledge base integration. Software Development Practices - Strong grounding in Git, testing, CI/CD frameworks. Ability to thrive in a fast moving environment - Dealing with ambiguity, setting clear priorities, and translating ideas into actionable plans. It would be great if you had Backend Development - Experience designing and building applications and services that encapsulate business logic, data and information flows and connect AI models into wider applications. Pipeline Design and Build - Experience integrating different types of databases and building and optimising data pipelines. Vector Databases and Knowledge Graphs - Familiarity with graph and vector databases such as Pinecone and Neo4J. Javascript - Familiarity with Javascript, particularly within backend build. Why else you'll love it here Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customize your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Overview As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Responsibilities Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks. Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats. Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience. Apply innovative testing methodologies to ensure state-of-the-art security practices. Document all red team activities, findings, and recommendations with precision and clarity. Requirements Must-Have Proven track record in AI vulnerability analysis. Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks. Minimum of 5 years of experience in offensive cybersecurity, with a focus on cloud and API security. Familiarity with agentic frameworks and hands-on experience in agentic development. Proficiency in Python. Exceptional analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment. Nice-to-Have Bachelor's or Master's degree in Computer Science, Information Security, or a related field. Demonstrated experience building production-quality pipelines and automations. Hands-on experience with machine learning development frameworks and environments. Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522). Certifications or background in DevOps/ML domains. Webint / OSINT experience. About ActiveFence ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Jan 01, 2026
Full time
Overview As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Responsibilities Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks. Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats. Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience. Apply innovative testing methodologies to ensure state-of-the-art security practices. Document all red team activities, findings, and recommendations with precision and clarity. Requirements Must-Have Proven track record in AI vulnerability analysis. Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks. Minimum of 5 years of experience in offensive cybersecurity, with a focus on cloud and API security. Familiarity with agentic frameworks and hands-on experience in agentic development. Proficiency in Python. Exceptional analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment. Nice-to-Have Bachelor's or Master's degree in Computer Science, Information Security, or a related field. Demonstrated experience building production-quality pipelines and automations. Hands-on experience with machine learning development frameworks and environments. Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522). Certifications or background in DevOps/ML domains. Webint / OSINT experience. About ActiveFence ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
J OB P ROFILE DESCRIPTION M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Data Scientist Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging with senior stakeholders to agree architectural principles, strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning, and engineering excellence. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions.Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI.Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).Strong interpersonal skills with the ability to lead client projects, manage C-level stakeholders and establish requirements/architecture concepts.We are passionate about developing people, you will bring experience in managing, coaching and developing junior members of a team and wider community.Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost).Experience with data storage for AI, vector databases, semantic search and knowledge graphs.Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That's why we've been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see .
Jan 01, 2026
Full time
J OB P ROFILE DESCRIPTION M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Data Scientist Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging with senior stakeholders to agree architectural principles, strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning, and engineering excellence. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions.Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI.Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).Strong interpersonal skills with the ability to lead client projects, manage C-level stakeholders and establish requirements/architecture concepts.We are passionate about developing people, you will bring experience in managing, coaching and developing junior members of a team and wider community.Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost).Experience with data storage for AI, vector databases, semantic search and knowledge graphs.Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That's why we've been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see .
About Adarga Adarga is the UK's only sovereign Defence Tech company specialising in applied AI solutions across intelligence, operations and planning. In an era of information overload, Adarga delivers technology that enables our mission partners to act with speed, clarity and confidence. By unlocking the value of their data, we help our partners make better decisions that achieve mission-critical outcomes. Our team is a hybrid of domain specialists and technologists. We believe this layering of experience is key to building cutting edge AI that is operationally relevant, solving real problems, to drive real outcomes. This is a unique time to join Adarga. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in generative AI and knowledge representation, as we set our sights firmly on defining and building the next era of sovereign AI capability for mission partners across the Defence and National Security sectors. To work at Adarga you have to care deeply about the mission. We exist to support those with the ultimate task: upholding the liberties and values that define our society. In today's contested, multipolar world, this cannot be taken for granted. We want people who are comfortable with uncertainty, who want to own decisions, who want to drive a vision. If that is you, get in touch! If you don't match all the skills and qualifications but care about our mission then we'd encourage you to back yourself and apply anyway. We all learn by doing About the role: You will be joining our Product org, a cross functional team of software engineers, machine learning specialists, domain experts and product specialists, focussed on building a suite of capabilities for intelligence analysts working across Defence and National Security. You will build AI products designed to move the human up the value chain thereby enabling intelligence analysts to act with speed, clarity and confidence. We are looking for someone to leverage their expertise in AI/ML engineering to design, develop, and deploy innovative machine learning and algorithmic solutions. We want someone adept at building models that solve hard problems. Responsibilities Design and develop machine learning models and algorithmic solutions that address complex, real-world challenges for users in Defence and National Security. Partner with product managers, product engineers, and domain experts to deliver ML-powered features from concept through to production. Engineer solutions with a deep understanding of algorithmic complexity and the operational cost of running models at scale. Communicate model choices, assumptions, and tradeoffs with clarity - whether you're speaking to fellow engineers, product stakeholders, or end users. Contribute to the development of robust, user-facing AI capabilities that are both high-performing and reliable - shipped fast, and iterated with care. Take full ownership of your work: from early experimentation through to deployment, monitoring, and ongoing optimisation. Help maintain the health and resilience of our production systems, debugging distributed pipelines when things go wrong. Stay close to the frontier of ML and AI research, continuously exploring ways to apply emerging techniques and tools to deliver better outcomes for users. Skills and Qualifications Advanced degree (Master's or PhD) in Computer Science, Machine Learning, NLP, or a related technical field. 3+ years of hands-on experience applying machine learning in production settings, ideally within enterprise or mission-critical environments. Practical expertise with Generative AI techniques-fine-tuning and evaluating large language models (LLMs), building RAG pipelines, and experimenting with agentic AI workflows. Strong Python development skills and familiarity with modern ML and NLP frameworks and tooling (e.g. Hugging Face, spaCy, PyTorch, Scikit-learn). Familiarity with Kubernetes and infrastructure for deploying and scaling ML models is a plus. Exposure to systems integration challenges (e.g. connecting ML workflows with data stores like PostgreSQL or search systems like Elasticsearch) is valued. Clear, confident communicator who thrives in cross-functional settings and can bridge the gap between technical depth and product impact. A curious mindset - you stay sharp by experimenting with new tools and refining your approach based on what works. Interview Process Phone Interview - Remote (30 mins) Technical Interview - Remote/In person (1 h) Final Interview - Onsite (1 h) Successful applicants may be required to undergo national security vetting upon appointment or during employment in this role. Applicants must meet the security requirements set out by UK Security Vetting (UKSV), and understand what is required in the associated UKSV: Vetting Guidance before they can be appointed.
Jan 01, 2026
Full time
About Adarga Adarga is the UK's only sovereign Defence Tech company specialising in applied AI solutions across intelligence, operations and planning. In an era of information overload, Adarga delivers technology that enables our mission partners to act with speed, clarity and confidence. By unlocking the value of their data, we help our partners make better decisions that achieve mission-critical outcomes. Our team is a hybrid of domain specialists and technologists. We believe this layering of experience is key to building cutting edge AI that is operationally relevant, solving real problems, to drive real outcomes. This is a unique time to join Adarga. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in generative AI and knowledge representation, as we set our sights firmly on defining and building the next era of sovereign AI capability for mission partners across the Defence and National Security sectors. To work at Adarga you have to care deeply about the mission. We exist to support those with the ultimate task: upholding the liberties and values that define our society. In today's contested, multipolar world, this cannot be taken for granted. We want people who are comfortable with uncertainty, who want to own decisions, who want to drive a vision. If that is you, get in touch! If you don't match all the skills and qualifications but care about our mission then we'd encourage you to back yourself and apply anyway. We all learn by doing About the role: You will be joining our Product org, a cross functional team of software engineers, machine learning specialists, domain experts and product specialists, focussed on building a suite of capabilities for intelligence analysts working across Defence and National Security. You will build AI products designed to move the human up the value chain thereby enabling intelligence analysts to act with speed, clarity and confidence. We are looking for someone to leverage their expertise in AI/ML engineering to design, develop, and deploy innovative machine learning and algorithmic solutions. We want someone adept at building models that solve hard problems. Responsibilities Design and develop machine learning models and algorithmic solutions that address complex, real-world challenges for users in Defence and National Security. Partner with product managers, product engineers, and domain experts to deliver ML-powered features from concept through to production. Engineer solutions with a deep understanding of algorithmic complexity and the operational cost of running models at scale. Communicate model choices, assumptions, and tradeoffs with clarity - whether you're speaking to fellow engineers, product stakeholders, or end users. Contribute to the development of robust, user-facing AI capabilities that are both high-performing and reliable - shipped fast, and iterated with care. Take full ownership of your work: from early experimentation through to deployment, monitoring, and ongoing optimisation. Help maintain the health and resilience of our production systems, debugging distributed pipelines when things go wrong. Stay close to the frontier of ML and AI research, continuously exploring ways to apply emerging techniques and tools to deliver better outcomes for users. Skills and Qualifications Advanced degree (Master's or PhD) in Computer Science, Machine Learning, NLP, or a related technical field. 3+ years of hands-on experience applying machine learning in production settings, ideally within enterprise or mission-critical environments. Practical expertise with Generative AI techniques-fine-tuning and evaluating large language models (LLMs), building RAG pipelines, and experimenting with agentic AI workflows. Strong Python development skills and familiarity with modern ML and NLP frameworks and tooling (e.g. Hugging Face, spaCy, PyTorch, Scikit-learn). Familiarity with Kubernetes and infrastructure for deploying and scaling ML models is a plus. Exposure to systems integration challenges (e.g. connecting ML workflows with data stores like PostgreSQL or search systems like Elasticsearch) is valued. Clear, confident communicator who thrives in cross-functional settings and can bridge the gap between technical depth and product impact. A curious mindset - you stay sharp by experimenting with new tools and refining your approach based on what works. Interview Process Phone Interview - Remote (30 mins) Technical Interview - Remote/In person (1 h) Final Interview - Onsite (1 h) Successful applicants may be required to undergo national security vetting upon appointment or during employment in this role. Applicants must meet the security requirements set out by UK Security Vetting (UKSV), and understand what is required in the associated UKSV: Vetting Guidance before they can be appointed.