ai compliance officer

RedCompass Labs

<div>
 
 
 AI Engineer
 
 
 
 Manchester, hybrid (60% office presence per year after onboarding period)
 
 
 
 
 
 
 About RedCompass Labs:
 
 
 
 RedCompass Labs are payments experts focused exclusively on payments modernization. Over the last 23 years, RedCompass Labs has delivered 500+ projects across the world&rsquo;s major payments schemes and platforms, including ISO 20022, SEPA, Swift, the Real-time Payments Network, and FedNow, ISO 20022 migrations, and FIS OPF, Finastra GPP, and ACI Worldwide.
 
 
 Its flagship Payments Expert Agent is an AI solution purpose-built for the full payments modernization software development lifecycle. Trained on decades of deep payments expertise and more than 30,000 curated documents, the agent is certified to SOC 2 Type II.
 
 
 RedCompass Labs supports clients from offices in London, Warsaw, Brussels, Miami, Boston, Toronto, and Pune. For more information, visit www.redcompasslabs.com.
 
 
 
 
 
 
 Mission:
 
 
 
 Imagine reducing a 14-day financial analysis task to just 2 hours. At RedCompass Labs, we don't just imagine-we've built it.
 
 
 We're transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is AnalystAccelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance.
 
 
 We&rsquo;re seeking exceptional AI Engineers to join our foundational AI Engineering team. Your role: transform cutting-edge research and prototypes into robust, production-ready AI solutions. You'll tackle sophisticated challenges within a regulated, high-stakes environment, developing scalable AI that augments human expertise.
 
 
 
 
 
 
 As an AI Engineer, you would:
 
 
 
 You will take proven concepts from research and turn them into production-grade, client-facing AI solutions:
 
 <ul>
 <li>
 
 Design, build, and scale
 
 sophisticated multi-agent workflows that automate complex financial analysis.
 </li>
 <li>
 
 Engineer robust Retrieval-Augmented Generation (RAG)
 
 pipelines leveraging financial rulebooks, regulatory documentation, and client knowledge bases.
 </li>
 <li>
 
 Develop secure, scalable backend services and APIs
 
 (primarily Python/FastAPI) deployed in Azure cloud environments.
 </li>
 <li>
 
 Implement and enhance MLOps and DevOps practices
 
 , using GitHub Actions, Azure DevOps pipelines, Docker containers, and Kubernetes orchestration.
 </li>
 <li>
 
 Collaborate closely
 
 with product managers, domain experts, and UX designers, converting complex business requirements into clear, impactful features.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 :
 
 
 We&rsquo;re seeking product-centric engineers who thrive on complex challenges, rapidly acquiring new technical skills, and delivering impactful
 
 AI solutions
 
 .
 
 <ul>
 <li>
 
 4+ years
 
 of professional software engineering experience, with proven expertise developing and deploying production-grade systems.
 </li>
 <li>
 Experience
 
 in modern AI
 
 , agentic software development, and use of
 
 LLMs
 
 .
 </li>
 <li>
 Strong proficiency in either
 
 Python/Typescript
 
 .
 </li>
 <li>
 Understanding in embedding models,
 
 retrieval-based AI architectures (RAG)
 
 , and vector databases.
 </li>
 <li>
 Familiarity with cloud-native software development, containerization and orchestration technologies.
 </li>
 <li>
 Commitment to learning and leveraging new technologies and AI tools rapidly and effectively.
 </li>
 <li>
 A &lsquo;t-shaped&rsquo; engineering mindset, and a willingness to stretch into tasks such as automation testing, devops, data engineering when the work needs it.
 </li>
 </ul>
 
 
 
 
 
 Bonus Qualifications:
 
 
 <ul>
 <li>
 Previous experience with multi-agent systems or complex workflow automation.
 </li>
 <li>
 Background in fintech, banking, payments, or compliance industries.
 </li>
 <li>
 Experience with high-performance API frameworks (FastAPI).
 </li>
 </ul>
 
 
 
 
 
 Our Technology Ecosystem:
 
 
 <ul>
 <li>
 
 Core AI &amp; LLMs: Python, LLM frameworks
 
 such as
 
 Autogen
 
 ,
 
 LangChain
 
 ,
 
 Pydantic-AI
 
 , etc.
 </li>
 <li>
 
 Retrieval-Augmented Generation (RAG) systems
 
 and
 
 MCP servers.
 
 </li>
 <li>
 
 Backend &amp; API Layer:
 
 FastAPI, RESTful APIs, Azure Cloud, NoSQL databases, Azure AI
 
 .
 
 </li>
 <li>
 
 Front-end
 
 :
 
 
 TypeScript and React
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Work on
 
 high
 
 ‑
 
 impact financial technology projects
 
 that shape the future of payments and AI‑driven innovation
 </li>
 <li>
 Join a
 
 trust
 
 ‑
 
 based, transparent, and collaborative culture
 
 where your voice matters and ideas influence outcomes
 </li>
 <li>
 Enjoy
 
 real ownership and autonomy
 
 in how you approach challenges, deliver work, and grow your expertise
 </li>
 <li>
 Be part of a
 
 diverse and inclusive global team
 
 across Canada, the UK, Europe, and Asia, where fairness and meritocracy guide every decision
 </li>
 <li>
 Collaborate daily with
 
 senior industry experts and leaders
 
 , accelerating your professional development
 </li>
 <li>
 Experience a
 
 human, respectful, and well
 
 ‑
 
 structured recruitment and onboarding journey
 
 designed around clarity and mutual fit
 </li>
 <li>
 Grow through
 
 continuous learning
 
 , cross‑functional work, and exposure to both consulting and product‑building environments
 </li>
 <li>
 Join a company that values
 
 integrity, curiosity, and continuous improvement
 
 , and empowers you to make meaningful impact from day one.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Up to 10% of annual earnings as a personal performance bonus
 </li>
 <li>
 Life insurance
 </li>
 <li>
 Group Income Protection
 </li>
 <li>
 Health Insurance for you and your family
 </li>
 <li>
 Dental Insurance for you and your family
 </li>
 <li>
 Pension: the pension is currently 4% employer and 4% employee. You also have the option to increase your contributions to your private pension, if you wish.
 </li>
 <li>
 28 days annual holiday plus Public &amp; Bank holidays
 </li>
 </ul>
 
 
 
 
 
 RedCompass Labs is committed to promoting and supporting a diverse and inclusive workplace, ensuring fair and equitable treatment for all. This fuels innovation and enables us to work better together with each other and for our clients.
 
 
</div>

Artificial Intelligence Engineer

Oscar

<div>
 
 
 AI Engineer
 
 
 
 
 Location:
 
 Manchester (Hybrid)
 
 
 
 Salary:
 
 &pound;55,000 - &pound;70,000 + benefits
 
 
 
 
 
 
 The Role
 
 
 
 We are working with a fast-growing technology scale-up in Manchester that is investing heavily in its AI capabilities and building out a team focused on the practical application of Generative AI.
 
 
 They are looking for a hands-on
 
 AI Engineer
 
 to help design, build, and deploy production-grade AI solutions, with a particular focus on
 
 agentic AI, LLMs and intelligent automation
 
 .
 
 
 
 
 
 You will work across a variety of projects, developing AI agents, RAG applications, internal tools and intelligent workflows using modern AI technologies. This is a strong opportunity for an engineer who wants genuine ownership and the chance to work with some of the latest developments in AI.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and deploy production-ready AI applications using LLMs
 </li>
 <li>
 Develop
 
 agentic AI systems
 
 , including tool-calling and multi-step agent workflows
 </li>
 <li>
 Build end-to-end
 
 RAG pipelines
 
 , including embeddings, retrieval and vector search
 </li>
 <li>
 Work with frameworks such as LangChain, LangGraph, LlamaIndex or similar
 </li>
 <li>
 Integrate LLMs and AI services into existing products, APIs and business workflows
 </li>
 <li>
 Prototype and test new AI capabilities before taking successful solutions into production
 </li>
 <li>
 Work closely with software, product and data teams to deliver scalable AI solutions
 </li>
 <li>
 Contribute to the wider AI roadmap and identify opportunities to apply emerging AI technologies
 </li>
 <li>
 Evaluate and continuously improve the performance, reliability and cost of AI systems
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 3+ years&rsquo; experience in
 
 AI Engineering, Machine Learning, Software Engineering or a similar role
 
 </li>
 <li>
 Strong
 
 Python
 
 skills and experience building production-quality applications
 </li>
 <li>
 Hands-on experience working with
 
 Generative AI and LLMs
 
 </li>
 <li>
 Practical experience building
 
 AI agents / agentic workflows
 
 </li>
 <li>
 Experience with
 
 RAG, embeddings, vector search and prompt engineering
 
 </li>
 <li>
 Experience using frameworks such as
 
 LangChain, LangGraph, LlamaIndex
 
 or similar
 </li>
 <li>
 Experience integrating model APIs such as OpenAI, Anthropic or open-source models
 </li>
 <li>
 Exposure to cloud environments such as
 
 AWS, Azure or GCP
 
 </li>
 <li>
 Strong software engineering fundamentals, including Git, testing, APIs and deployment
 </li>
 <li>
 A pragmatic, delivery-focused approach to building real-world AI products
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 multi-agent systems
 
 and agent orchestration
 </li>
 <li>
 Exposure to vector databases such as Pinecone, Weaviate, Qdrant or FAISS
 </li>
 <li>
 Experience with
 
 LLMOps / MLOps
 
 , monitoring and evaluation
 </li>
 <li>
 Familiarity with AI guardrails, evaluation frameworks or model observability
 </li>
 <li>
 Experience deploying AI applications using Docker and CI/CD
 </li>
 <li>
 Exposure to fine-tuning or working with open-source LLMs
 </li>
 <li>
 Previous experience within a high-growth technology or scale-up environment
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Salary up to
 
 &pound;75,000 depending on experience
 
 </li>
 <li>
 Generous benefits package
 </li>
 <li>
 Opportunity to join a growing technology scale-up investing heavily in AI
 </li>
 <li>
 Significant exposure to
 
 agentic AI and emerging LLM technologies
 
 </li>
 <li>
 High-impact role with genuine ownership over AI products and solutions
 </li>
 <li>
 Collaborative, technically ambitious environment
 </li>
 </ul>
</div>

Generative AI Engineer

The Portfolio Group

<div>
 
 
 Senior AI Engineer (Gen AI &amp; RAG)
 
 
 
 
 
 
 Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative &amp; agentic AI capabilities that power real-world business outcomes.
 
 
 This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value.
 
 
 Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering.
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade generative AI systems that perform reliably at scale.
 </li>
 <li>
 Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content.
 </li>
 <li>
 Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability.
 </li>
 <li>
 Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost.
 </li>
 <li>
 Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs.
 </li>
 <li>
 Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team.
 </li>
 <li>
 Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment.
 </li>
 <li>
 Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph.
 </li>
 <li>
 Proven track record building RAG systems; Graph-RAG a distinct advantage.
 </li>
 <li>
 Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering.
 </li>
 <li>
 Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness.
 </li>
 <li>
 Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability.
 </li>
 <li>
 Track record owning technical design and delivery of AI/ML systems in live, business-critical environments.
 </li>
 <li>
 Azure/Foundry familiarity advantageous.
 </li>
 </ul>
 
 This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap.
 
</div>

Senior AI Engineer - (GEN-AI)- Manchester

Ignite Insurance Systems

<div><div>At Verisk Ignite , we build innovative technology solutions that help our customers make better decisions through data, analytics, and software. We are looking for a highly experienced Senior Back-End Software Engineer to join our growing engineering team and play a key role in designing and delivering scalable, secure, and resilient software platforms.
This is a senior technical position suited to an engineer with 10+ years of commercial software development experience who is passionate about backend architecture, engineering excellence, and team development. You'll be responsible for leading complex technical initiatives, influencing architectural direction, and mentoring engineers across the organization.
This role is an excellent opportunity for someone looking to take the next step toward a future Principal Engineer position. Beyond hands-on development, you'll act as a technical leader, helping shape engineering standards, supporting the growth of other engineers, and driving the adoption of modern engineering practices, including AI-assisted software development.
#LI-SD2 #LI-Hybrid</div></div>
 <div><div><ul><li>Design, develop, and deliver complex back-end services, APIs, and distributed systems that power business-critical and customer-facing applications.
</li><li>Lead the technical delivery of strategic initiatives from concept through production deployment.
</li><li>Drive architectural decisions that improve scalability, maintainability, reliability, security, and performance.
</li><li>Champion the adoption of AI-assisted engineering practices, leveraging tools such as GitHub Copilot and agentic workflows throughout the software development lifecycle.
</li><li>Translate business requirements into technical solutions, estimates, and delivery plans.
</li><li>Design and implement robust APIs, microservices, and data-driven solutions.
</li><li>Identify and mitigate technical risks, dependencies, and delivery challenges.
</li><li>Conduct code reviews and design reviews to ensure high engineering standards across teams.
</li><li>Define and improve best practices for testing, observability, performance, reliability, and operational excellence.
</li><li>Investigate complex production issues and drive continuous improvement through root-cause analysis.
</li><li>Ensure solutions meet security, compliance, reliability, and performance requirements.
</li><li>Serve as a senior technical mentor for engineers across the organization, providing coaching, guidance, and hands-on support to accelerate individual and team growth.
</li><li>Partner with Engineering Managers and technical leaders to help develop engineering capability, career progression frameworks, and technical excellence initiatives.
</li><li>Lead by example in promoting a culture of collaboration, ownership, continuous improvement, and knowledge sharing.
</li>Create and maintain clear technical documentation. 
<li>
</li></ul>Technology environment
<div><ul><li>C# / .NET
</li><li>Microsoft Azure
</li><li>Kubernetes
</li><li>GitHub &amp; GitHub Actions
</li><li>SQL Server &amp; PostgreSQL
</li><li>REST APIs &amp; Microservices
</li><li>Event-Driven Architectures
</li><li>Grafana
</li><li>AI-assisted development tools, including GitHub Copilot</li></ul></div></div></div>
 <div><div><div><div><div><div><div><div><div><div><div><div><div>Required
<ul><li>10+ years of commercial software engineering experience , with a strong focus on back-end development.
</li><li>Expert-level proficiency in C# and .NET .
</li><li>Extensive experience designing, building, and supporting scalable APIs, services, and distributed systems.
</li><li>Proven experience delivering secure, resilient, high-performance software solutions in production environments.
</li><li>Strong understanding of software architecture, design patterns, and engineering best practices.
</li><li>Experience working with cloud platforms, ideally Microsoft Azure .
</li><li>Strong experience with relational databases, data modelling, and query optimisation, ideally with SQL Server and PostgreSQL .
</li><li>Solid knowledge of CI/CD pipelines, automated testing, and modern deployment approaches.
</li><li>Strong understanding of secure software development principles and application security.
</li><li>Demonstrated experience leading technical initiatives and influencing engineering direction.
</li><li>Significant experience mentoring and developing engineers at different stages of their careers.
</li><li>Strong communication skills with the ability to engage effectively with technical and non-technical stakeholders.
</li>Hands-on experience using AI-assisted development tools to improve software delivery, quality, and productivity. 
<li>
</li></ul> 
Nice to have:
<ul><li>Experience with Azure Service Bus, Kafka, or similar messaging technologies.
</li><li>Knowledge of Infrastructure as Code (IaC) and GitOps practices.
</li><li>Experience operating containerized workloads on Kubernetes.
</li><li>Exposure to front-end technologies such as TypeScript, Vue.js, or modern JavaScript frameworks.
</li>Experience implementing monitoring, observability, and operational tooling. 
<li>
</li></ul> 
What success looks like
<ul><li>Delivering scalable, secure, and resilient backend services that support Verisk Ignite's products and customers.
</li><li>Driving strategic architectural decisions that enable sustainable growth and long-term maintainability.
</li><li>Building high-performing engineering teams through mentoring, coaching, and technical leadership.
</li><li>Establishing and promoting engineering best practices across projects and teams.
</li><li>Improving development efficiency through thoughtful adoption of AI-assisted engineering practices.
</li><li>Raising the technical capability of the organization through knowledge sharing and leadership.
</li><li>Being recognized as a trusted technical leader with a clear path toward a future Principal Engineer role.
</li><li>Balancing delivery speed with long-term quality, reliability, and scalability.</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div>
 <div>Our People, Our Culture
For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer, testaments to the value we place on workplace culture.
Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
Awards &amp; Recognition : See why Verisk is consistently recognized as a Great Place to Work&trade; around the world.
Our Businesses : Learn about the diverse industries we serve &mdash; from insurance and energy to financial services and beyond.
Life at Verisk : Discover what it&rsquo;s like to work at Verisk through employee stories, team highlights, and culture moments.
Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that&rsquo;s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture
Let&rsquo;s build something meaningful together!
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.
Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws.
We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Verisk Employee Privacy Notice</div>

Senior Back-End Software Engineer

Kraken

<div>Help us use technology to make a big green dent in the universe!
Kraken powers some of the most innovative global developments in energy.
We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide.
It&rsquo;s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone.
AI is a key investment area for Kraken Technologies as we look to expand our existing capabilities. A crucial part of this is broadening the foundational infrastructure to enable teams across the organisation to use AI effectively to accelerate our mission.
You&rsquo;ll work in the Agent Safety/Evals team, a new sub-team within AI Foundations. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery-focused team that sits at the intersection of engineering and delivery, focusing on empowering our internal users.
The Role
We&rsquo;re hiring a Lead Software Engineer to head our newly formed Agent Safety/Evals team. As AI agents take on more autonomous tasks across Kraken's internal workflows, this role is critical to ensuring they do so securely and predictably.
This is a leadership role focused on constraining our internally facing AI agents to an expected operation space and guaranteeing system reliability.
You will define the technical strategy for how we evaluate models, enforce safety guardrails, and govern AI behavior across internal platforms, skills, and harnesses. You&rsquo;ll work closely with the broader AI Foundations team and engineers across Kraken to ensure that our push for rapid AI adoption in internal tooling never compromises on security, determinism, or quality.
What you'll own<ul><li>
Lead the technical direction for internal agent safety: Design and implement systems focused on the reliability, security, and determinism of LLMs and autonomous agents, constraining them strictly to expected operational spaces within our internal ecosystems.</li><li>
Build robust evaluation frameworks: Develop scalable harnesses and evals tailored to internal workflows and skills. You will be responsible for asking the right types of questions about the quality and reproducibility of our evals, while engineering the systems to measure them robustly.</li><li>
Implement guardrails and governance: Create and enforce pre- and post-generation guardrails, managing the overarching governance of AI models operating within internal tools and platforms.</li><li>
Drive AI security and observability: Build out dedicated auth/permissions for internal AI agents, establish deep monitoring/observability pipelines, and define incident response protocols for AI-specific anomalies.</li><li>
Verification and Red Teaming: Lead continuous verification efforts and red teaming exercises to proactively identify vulnerabilities, prompt injections, or unpredictable behaviours in our internal AI implementations.</li><li>
Operate in AWS: Deploy, run, and support high-throughput, low-latency safety services for internal use cases; make sensible architecture/cost tradeoffs; partner effectively with platform/techops/security stakeholders.</li></ul>
 What you bring to the party<ul><li>
Strong technical leadership: Proven experience leading technical initiatives or teams, capable of setting the technical vision for complex, ambiguous domains.</li><li>
Deep software engineering fundamentals: Senior/advanced capability in designing secure components end-to-end, testing thoroughly, and reasoning heavily about system design, concurrency, and architecture tradeoffs. (Python preferred).</li><li>
Expertise in AI Evaluation and Safety: A highly critical thinker who understands the nuances of LLM behavior. You must be comfortable interrogating the quality of AI outputs and deeply experienced in building harnesses to measure it reproducibly.</li><li>
Security and Governance mindset: Experience with threat modeling, authentication, red teaming, or building guardrails for internal systems, tooling, or platforms.</li><li>
Cloud experience (AWS): Comfortable running internal services, owning reliability/scalability, and collaborating with platform/techops/security partners.</li><li>
Excellent communication: Able to synthesize complex safety and eval metrics into actionable insights for both technical and non-technical stakeholders.</li></ul>
What Success Looks Like<ul><li>
Confidence in Internal Tooling: Engineers across Kraken can deploy new autonomous models, AI skills, and internal agents with total confidence, knowing they are bound by reliable safety guardrails and strict operational constraints within our internal ecosystems.</li><li>
High-Quality Internal Evals: You have established a culture and infrastructure of robust, highly reproducible evaluation metrics that accurately reflect the real-world performance and safety of our internal-facing AI tooling and harnesses.</li><li>
Resilient Internal Infrastructure: AI security, monitoring, and incident response are treated as first-class citizens, ensuring that any erratic agent behavior in our internal platforms is immediately caught and mitigated before it affects broader operations.</li><li>
Technical Leadership: Strong collaboration across AI Foundations helps accelerate secure internal AI adoption; you are actively mentoring engineers and shaping the company's internal AI governance strategy.</li></ul>
️ Bonus points
<ul><li>Experience with specific LLM evaluation and safety frameworks (e.g., Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails).</li><li>
Django experience and strong backend engineering patterns (security, performance, maintainability).</li><li>
Experience with Datadog for complex observability, tracing, and monitoring in AI environments.</li><li>
Familiarity with foundational AI engineering tooling like Pydantic AI, LiteLLM, or LangChain.</li></ul>
Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We&rsquo;ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!
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&rsquo;re looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. 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. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.<ul><li>Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you&rsquo;ve read, understood and consent to these terms</li></ul>
Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.*</div>

Lead Software Engineer - Agent Safety

GMCA

<div><div><div>Senior Contracts &amp; Performance Manager
Safer &amp; Stronger Communities Directorate
Grade 9 &pound;49,282 - &pound;53,460
Please note: The role has been provisionally assessed as a Grade 9 post and is awaiting final audit panel sign-off. Appointment to the vacancy will be confirmed once that process has been completed.
Interviews will be held on Monday 12th October 2026. 
About the role
Over recent years, the Safer and Stronger Communities Directorate has significantly expanded its commissioned services and grants activity in support of the delivery of the Deputy Mayor's Police and Crime Plan. As our portfolio has grown, so too has the need for stronger, more consistent commissioning oversight, performance management, contract management and governance arrangements.
This newly created role will play a central part in ensuring that the directorate has the systems, processes, information and assurance needed to effectively oversee delivery, manage risk and support informed decision-making.
Working across a diverse portfolio of commissioned services and grants, you will establish and embed the systems, processes and governance arrangements that support effective oversight, accountability and performance across the directorate. Rather than managing individual contracts directly, your focus will be on creating the systems, frameworks, information and governance arrangements that enable consistent, high-quality contract management, performance oversight and decision-making across the organisation.
You will work closely with the Combined Authority's Commercial Services function, helping ensure that directorate activity aligns with corporate standards, governance requirements and best practice, whilst acting as a key link between central commercial colleagues and operational teams.
In doing so, you will work closely with contract managers, service leads and senior managers to improve consistency, transparency and quality in the way commissioned activity is planned, managed and reviewed. You will help create an environment where contract managers and operational teams are supported to deliver effectively, whilst ensuring senior leaders have the information, assurance and visibility needed to make informed decisions.
The role will lead the development of directorate-wide approaches to commissioning oversight, contract management and performance management. This will include improving management information, coordinating pipeline planning activity, strengthening governance arrangements, identifying emerging risks and performance concerns, and ensuring appropriate escalation routes are in place.
Whilst the initial focus of the role will be on strengthening oversight across our commissioned services and grants portfolio, the position sits within the wider Oversight and Performance function and contributes to broader directorate assurance arrangements. This includes supporting the development of performance frameworks, improving organisational visibility of emerging risks and trends, and helping ensure that senior leaders have access to the information, insight and assurance needed to support effective oversight of policing, fire and wider public service delivery.
You will play a key role in supporting the Senior Management Team by ensuring that information is timely, meaningful and focused on the issues that matter most. By improving visibility of performance, risk and delivery across commissioned services, grants and wider directorate activity, you will help create the conditions for earlier intervention, stronger accountability and better outcomes. You will help develop the systems and reporting arrangements that allow emerging issues to be identified early, escalated appropriately and addressed before they become more significant delivery concerns.
The role provides a unique opportunity to shape a new function and leave a lasting impact on how the directorate oversees a substantial and growing portfolio of commissioned services, grants activity and wider performance arrangements. 
About you
We are looking for an experienced professional with expertise across commissioning, contract management, performance management, governance and assurance within complex organisational environments. You will likely have developed this experience within the public sector and understand the realities of operating in highly visible and publicly scrutinised settings. However, we are equally interested in hearing from candidates who have developed comparable expertise in other sectors where strong governance, accountability, regulatory oversight and complex stakeholder environments are critical to success.
You will have experience of establishing or improving systems, processes and governance arrangements that strengthen organisational oversight, transparency and accountability. You will understand how to translate large volumes of operational, contractual and performance information into clear insight that supports effective decision-making and enables managers and senior leaders to focus attention where it is most needed.
You will be comfortable working across multiple teams and service areas, building strong relationships and influencing colleagues at all levels. You will be able to challenge constructively, identify opportunities for improvement and support managers to strengthen performance, delivery and compliance.
Experience of developing performance frameworks, management information, assurance arrangements and escalation processes will be particularly valuable, as will a strong understanding of how effective oversight contributes to improved delivery and organisational performance.
Most importantly, you will be someone who can bring consistency, transparency and quality to a complex portfolio, helping to create an environment where teams can perform at their best and leaders can influence with confidence. 
Working for GMCA
At GMCA, we are committed to creating a workplace where everyone can thrive. We value diversity, encourage flexible working and are committed to supporting the wellbeing and development of our people.
In return, we offer a competitive Local Government Pension Scheme, generous annual leave entitlement, flexible and hybrid working arrangements, access to a range of health and wellbeing support, and opportunities for learning and professional development.
We are committed to building a workforce that reflects the diverse communities we serve and welcome applications from all sections of the community.</div></div><div><div> 
Mandatory Information:
Artificial Intelligence (AI)
We embrace AI to enhance our operations and to innovate our services. However, we value human talent and are looking for passionate individuals to join our organisation. Please ensure you personally complete your application and read all the instructions carefully to maximise your chances of success.
Applications that rely too heavily on AI may be rejected during shortlisting, however we understand that AI may be used as a reasonable adjustment, if using AI to support your application, please give a brief explanation why to help ensure fair selection process.
Privacy Notice (Click here)
Employees on the redeployment register will be given priority for any vacancies in the first instance. If employees are identified as a match from the register then the vacancy may be withdrawn or put on hold pending an outcome.
For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK (www.gov.uk). Please note we are not a licenced sponsor. 
Hybrid working
This role is part of GMCA&rsquo;s hybrid working scheme. As part of our commitment to &lsquo;Build Back Fairer&rsquo; in Greater Manchester following the Covid-19 pandemic, we have evolved our management methods by trusting and empowering staff to deliver their work in the best way that suits the business and their individual needs, and supports health and wellbeing. Our hybrid working policy sets out a flexible approach, combining attendance at our Manchester city centre office, allocated GM Local Authority office(s), or on site in the community, with remote working, typically from home (within a reasonable commutable distance from Greater Manchester); the location of work is primarily dictated by the needs of the business: &lsquo;Do what is right for you and the business on that day&rsquo;. If appointed to the role you will work with your manager to agree and regularly review the best working pattern for you, your team and your work.</div></div></div>

Senior Contracts & Performance Manager

Hiiya

<div>
 
 Hiiya are hiring
 
 MLOps Engineers in Manchester.
 
 
 
 
 
 
 And this is proper AI work not &ldquo;we bought everyone Copilot and now our website says we&rsquo;re AI-first.&rdquo;
 
 
 
 
 
 The company is a specialist MLOps consultancy working with clients to actually build, deploy and productionise machine learning systems.
 
 
 
 
 
 That means projects involving things like:
 
 
 
 
 <ul>
 <li>
 Self-hosted LLMs and AI agents
 </li>
 <li>
 RAG systems
 </li>
 <li>
 Computer vision
 </li>
 <li>
 Model training and serving
 </li>
 <li>
 Experiment tracking
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Cloud infrastructure
 </li>
 <li>
 Open-source MLOps tooling
 </li>
 <li>
 Taking interesting prototypes and making them work properly in the real world
 </li>
 </ul>
 
 
 
 
 They&rsquo;ve worked across everything from startups and major organisations through to public sector and secure government environments.
 
 
 
 
 
 I&rsquo;m recruiting at two levels:
 
 
 
 
 
 
 Senior MLOps Engineer | &pound;65k to &pound;80k
 
 
 
 
 
 
 This is primarily a hands-on engineering role.
 
 
 
 
 
 You&rsquo;ll be building production-grade ML systems in Python, deploying them into cloud environments, working with modern DevOps/MLOps tooling and dealing directly with customers.
 
 
 
 
 
 You don&rsquo;t necessarily need &ldquo;MLOps Engineer&rdquo; written on your current job title.
 
 
 
 
 
 You could come from ML Engineering, DevOps, Data Engineering or a similar background, provided you&rsquo;ve actually built and deployed ML software in production.
 
 
 
 
 
 
 Lead MLOps Engineer | &pound;80k to &pound;100k
 
 
 
 
 
 
 Still technical &amp; writing code hands on.
 
 
 
 
 
 But you&rsquo;ll also take more ownership of projects, architecture and engineering standards, mentor other engineers, lead delivery and work directly with clients to figure out what they actually need.
 
 
 
 
 
 So they&rsquo;re looking for somebody who can explain a technical decision to an engineer, a customer and potentially somebody who thinks Kubernetes is a fitness class.
 
 
 
 
 
 The wider environment is very engineering-led, they like open source &amp; they invest time into R&amp;D.
 
 
 
 
 
 They actively encourage engineers to experiment with new tools rather than waiting three years for Gartner to tell them it&rsquo;s safe.
 
 
 
 
 
 And some of the stuff they&rsquo;re building is genuinely interesting.
 
 
 
 
 
 
 Important logistical bit before 400 people message me asking if it&rsquo;s remote:
 
 
 
 📍 Central Manchester
 
 
 🏢 Hybrid - 3 days per week in the office
 
 
 
 
 
 
 The three office days are fixed.
 
 
 
 
 
 
 There&rsquo;s also an important eligibility requirement.
 
 
 
 
 
 Some projects require UK Government
 
 SC security clearance
 
 , so you
 
 must have been continuously resident in the UK for at least the last 5 years
 
 .
 
 
 
 
 
 Unfortunately, that bit isn&rsquo;t negotiable either.
 
 
 
 
 
 If you&rsquo;re an ML Engineer, MLOps Engineer or DevOps-minded engineer who wants to spend more of your time building actual AI systems rather than putting &ldquo;AI enthusiast&rdquo; in your LinkedIn headline, what are you waiting for?
 
</div>

Machine Learning Engineer

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