commercial operations engineer Jobs in Manchester

commercial operations engineer

ai compliance officer

<div>We are seeking an ambitious, enthusiastic and analytically talented professional to join our AI Compliance team. This is a role within a US-headquartered, global systemically important bank, focused on strengthening the governance, validation, and strategic oversight of AI use, aligned to regulatory expectations, across the enterprise. The successful candidate will be instrumental in advancing our AI Compliance framework, with a strong emphasis on embedding leading practices, regulatory standards, automation, and Artificial Intelligence (AI) adoption. This role is on-site and located in Manchester, UK.
In this role, you&rsquo;ll make an impact in the following ways:
<ul><li><div>Contributing to the uplift and expansion of the Firm&rsquo;s AI Regulatory Compliance framework and further integrating into the existing Compliance Lifecycle. Independent review and oversight of potential regulatory compliance risks arising through new AI proposals.
</div></li><li><div>Working closely with BNY&rsquo;s Public Policy and Governance Office and Legal teams to maintain regulatory horizon scanning and analyze complex AI laws, rules and regulations such as EU AI Act; drafting clear, pragmatic guidance for Engineering and business stakeholders.
</div></li><li><div>Representing Compliance at appropriate AI governance forums and working groups to provide timely, actionable and pragmatic regulatory compliance advice to AI Hub, Engineering and business teams; partnering closely with Risk and Legal to ensure a unified approach.
</div></li><li><div>Collaborating with colleagues in Risk and Compliance and key 1LOD control groups to help drive a unified approach to AI governance &ndash; helping to bridge the gap between new AI technology, existing financial services regulation and potential ethical/ reputational considerations.
</div></li><li><div>Maintaining assessment documents and dashboards that reflect the health of BNY&rsquo;s AI regulatory compliance framework; preparing clear, insightful reporting and risk assessments for senior management, committees, and regulators.
</div></li><li><div>Drafting responses to inquiries from regulators and clients regarding the regulatory compliance of BNY&rsquo;s AI practices.
</div></li><li><div>As an enthusiastic user of BNY&rsquo;s AI tools, will share insights, propose fresh ideas, demonstrate a passion for continuous learning, and pursue excellence at the intersection of AI and regulation. 
</div></li></ul>To be successful in this role, we&rsquo;re seeking the following:
<ul><li><div>Relevant work experience. Financial Services, Computer Science, Information Management Systems, Law, Data Privacy or Compliance background, and/or experience with financial services compliance and/or experience with AI laws, regulations and rules of relevant regulators, preferred.
</div></li><li><div>Hands ‑ on experience of AI use, and strong understanding of risks associated with the creation and use of AI systems and agents.
</div></li><li>Demonstrable interest in public policy governance and international AI regulatory frameworks, e.g. EU AI Act, U.S state laws (e.g. California, Texas, Utah), Singapore&rsquo;s &lsquo;FEAT&rsquo; principles, and the ability to translate sometimes technical, legal concepts into clear, audience ‑ appropriate narratives
</li><li>Strong communication, stakeholder engagement, and strategic thinking skills.Clear written and verbal skills for executive ‑ ready materials and stakeholder engagement.
</li><li><div>Comfortable working with stakeholders across disciplines, e.g. engineering, compliance, risk, and legal, in fast ‑ moving, high ‑ stakes contexts.
</div></li><li><div>A degree in AI Systems Management, Information Systems Management, Finance, Computer Science, Data Science, Engineering, Law, or a related field a bonus.</div></li></ul></div>

AI Compliance Officer

Ripjar

<div>Ripjar was founded by veterans of GCHQ to bring national security-grade intelligence tools to the fight against financial crime. Financial crime funds human trafficking, terrorism, corruption and sanctions evasion on a global scale, and the organisations on the front line need technology built to match the threat.
Today, Ripjar's AI-native software and data fusion products are used by governments, the world's largest banks, and global enterprises to automate the detection, investigation and monitoring of serious financial crime. Every day, hundreds of customers and thousands of daily active users rely on the platform to screen hundreds of millions of names for risk in real time, prevent money laundering and stop terrorist financing.
If you want your work to matter, this is where it happens.
We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time.
The role: 
We are looking for a motivated, curious, and enthusiastic Product Manager to join our growing product team. This is not a role where we expect you to have seen it all before or be an expert in every discipline. We believe great product instincts combined with the right attitude will take you far, and this role is designed to be a launchpad for your career. 
 
Product management at Ripjar is beautifully varied, and we want you to find your own strengths. While you will get a solid grounding in the entire product lifecycle, you will have the flexibility to lean into the areas that excite you most as you develop:<ul><li> 
The Tech and Delivery Side: Partnering closely with world-class engineers and architects to build cutting-edge systems.
</li><li>The Commercial and Marketing Side: Shaping product strategy, exploring pricing models, and helping position our products in the global market.
</li><li>The Operational Side: Working on how our complex AI systems are deployed and implemented effectively for our clients.
</li></ul>Bring Your Ideas to Shape How the World Fights Financial Crime with AI 
AI is at the heart of what we do. We don't just want you to manage a roadmap; we want you to bring your own creativity and ideas to the table. You will help us think about how we can leverage the next generation of AI tools and processes to make a meaningful difference. If you are fascinated by the fast-moving world of artificial intelligence and want to apply it to real-world challenges, you will thrive here.
What you'll be doing:<ul><li>
Lead and Shape Initiatives: Be responsible for key product features from concept through to launch, working alongside UX designers, engineers, and QA specialists.
</li><li>Listen and Learn: Engage directly with our customers and internal teams to deeply understand user needs and domain challenges.
</li><li>Build Momentum: Act as an Agile product owner by writing user stories, collaborating team ceremonies, and helping the team deliver.
</li><li>Experiment with Strategy: Contribute fresh ideas to our product development, marketing strategies, and pricing approaches.</li></ul> 

Requirements 
What we're looking for: 
 
We are keeping things simple. We aren't looking for a long list of certificates; we are looking for potential, adaptability, and commitment.<ul><li> 
Some Product Experience: You have a solid grounding in product management principles, perhaps as an Associate PM, Product Analyst, or a closely related role in a fast-moving tech environment.
</li><li>B2B or SaaS Exposure: You have some familiarity with how enterprise software or SaaS products are built and delivered.
</li><li>Curiosity Around AI: You don't need a degree in data science, but you should be genuinely excited by AI technology and eager to explore how it can solve complex problems.
</li><li>Strong Communication: You know how to collaborate cross-functionally, listen to different perspectives, and build trust with a team.
</li><li>Bonus Points: Any exposure to financial services, compliance, or RegTech is a great plus, but absolutely not a requirement.</li></ul> 

Benefits 
Why we think you&rsquo;ll enjoy it here:<ul><li>
Competitive base salary DOE</li><li>
25 days annual leave + birthdays off, rising to 30 days after 5 years of service</li><li>
Christmas shutdown</li><li>
Fully remote working</li><li>
35 hour working week</li><li>
Flexible working hours.</li><li>
Private Family Healthcare</li><li>
Life Assurance</li><li>
Pension salary sacrifice</li><li>
Employee Assistance Programme</li><li>
Company contributions to your pension</li><li>
Enhanced maternity/paternity pay</li><li>
The latest tech including a top of the range MacBook Pro</li><li>
There is a well-stocked pantry with food, snacks and drinks when in the office</li></ul></div>

Product Manager

Adria Solutions Ltd

<div>
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
 
 
 
 
 We&rsquo;re looking for a
 
 hands-on AI Engineer
 
 to build real-world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Design, build, and integrate AI applications into end-to-end workflows.
 </li>
 <li>
 Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior.
 </li>
 <li>
 Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production.
 </li>
 <li>
 Establish best practices for orchestration, testing, monitoring, and operational safeguards.
 </li>
 <li>
 Evaluate emerging AI capabilities and translate them into practical, high-value implementations.
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems.
 </li>
 <li>
 Hands-on experience with LLMs, AI services, or agentic AI frameworks.
 </li>
 <li>
 Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability.
 </li>
 <li>
 Systems thinker who collaborates effectively across teams and communicates clearly.
 </li>
 <li>
 Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes.
 </li>
 </ul>
 
 
 
 
 
 Bonus if you have:
 
 AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community.
 
 
 
 
 
 Join us and help shape the future of AI-driven systems in a fast-moving, hands-on environment.
 
 
 
 
 
 Interested? Please Click Apply Now
 
 
 
 
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
</div>

Artificial Intelligence Engineer

ANS Group Limited

<div>At ANS, the Data Solution Architect is pivotal in shaping and delivering end-to-end data solutions that align with business objectives and technical standards. This role focuses on designing robust, scalable architectures that enable seamless data integration, advanced analytics, and secure data management across diverse platforms. Working closely with engineers and stakeholders, the Data Solution Architect ensures that solutions are not only technically sound but also optimised for performance, reliability, and future growth. While hands-on implementation may occasionally be required, the primary responsibility lies in defining architectural patterns, guiding technical decisions, and translating complex requirements into actionable designs that drive value for both internal teams and customers. 
Roles and responsibilities...<ul><li>
Act as a trusted advisor, guiding customers and internal teams through complex architectural decisions with a focus on business value, scalability, and technical excellence.</li><li>
Design and document end-to-end data solutions clearly and accurately for internal and customer use, ensuring alignment with ANS standards and best practices.</li><li>
Collaborate with Project Managers and stakeholders to align on delivery timelines, report progress, and manage risks, while acting as a key point of contact for customer SMEs and technical teams to clarify requirements and solution design.</li><li>
Contribute to discovery and planning, identifying areas such as governance, security, maturity, adoption, and functional/non-functional requirements, and provide actionable recommendations.</li><li>
Educate and enable customers and internal teams, building knowledge of enterprise data platforms, architectural patterns, and best practices.</li><li>
Engage in continuous learning through certifications (e.g., DP-600, DP-700, AI-900, AI-102) and development days to stay current with emerging technologies and industry trends.</li><li>
Participate in the Data Architecture Guild, sharing knowledge, influencing standards, and helping shape architectural practices across ANS.</li><li>
Ensure information security and compliance are embedded in all designs, adhering to business policies and procedures.</li></ul> 
Skills and experience required...
Must-have<ul><li>
Deep expertise in Big Data architecture and design, with significant experience delivering enterprise-scale solutions.</li><li>
Design and implementation experience with at least three of the following: Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks.</li><li>
Microsoft Fabric knowledge, including architecture design and integration with existing data ecosystems.</li><li>
Data catalogue, modelling, warehousing, and analytics experience across multiple platforms.</li><li>
Proven understanding of security and governance, including cloud infrastructure, compliance frameworks, and data protection principles.</li><li>
Strong presentation and visualisation skills using a variety of customer facing tools to present diagrams and designs.</li><li>
Cloud proficiency with Azure, including Infrastructure as Code (IaC) and services across IaaS, SaaS, and PaaS.</li><li>
Knowledge of Well-Architected Frameworks, security principles, and Agile/Waterfall project lifecycles.</li><li>
Database expertise in SQL and NoSQL technologies.</li></ul>
Desirable<ul><li>
Programming and automation: SQL, Python, Azure DevOps.</li><li>
IoT design architecture for connected solutions.</li><li>
Master Data Management (MDM) design and implementation.</li><li>
Architecture and cloud-related certifications, e.g., TOGAF, Azure Solutions Architect Expert.</li><li>
Experience with emerging technologies such as real-time analytics, AI/ML integration, and data mesh principles.</li></ul>
At ANS, we&rsquo;ve created a place where everyone can be themselves, and we empower our people to get the job done. Openness, ambition, honesty, and passion are what drive us every day. We are bold, courageous, and innovative &ndash; and we do it like no other. We invest in our people. In training, development, health and more &ndash; we give you the benefits and flexibility to maintain a happy work-life balance.
We&rsquo;re proud of the inclusive, fun, dynamic environment we&rsquo;ve created. It&rsquo;s a safe space that works for all. You don&rsquo;t have to be a techie to work in tech. Bring your authentic self and find your dream role here. Find out more at LinkedIn pages 
With fantastic benefits, an inclusive culture, and a cool office space, we&rsquo;re your kind of workplace.<ul><li>
As standard: 25 days&rsquo; holiday, plus you can buy up to 5 more days</li><li>
A little extra: we&rsquo;ll give you your birthday off, and an extra celebration day for whatever you want! Tying the knot? You get 5 days&rsquo; additional holiday in the year you get married. Oh, and 5 volunteer days!</li><li>
Private health insurance</li><li>
Pension contribution match and 4 x life assurance</li><li>
Flexible working and work from anywhere for up to 30 days per year (some exceptions)</li><li>
Maternity: 16 weeks&rsquo; full pay, Paternity: 3 weeks&rsquo; full pay, Adoption: 16 weeks&rsquo; full pay</li><li>
Company social events &ndash; get ready for a jam-packed calendar</li><li>
Electric car scheme</li><li>
12 days of personal growth development time</li></ul>
ANS are an equal opportunities employer. We encourage diversity and anyone applying for a role at our organisation can be assured that their application will be treated fairly, regardless of age, disability, gender reassignment, gender expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief and sex or sexual orientation. We sometimes ask for information relating to individuals for equal opportunities monitoring purposes only.</div>

Data Architect

Maxwell Bond

<div>
 
 
 AI Systems Engineer
 
 
 
 
 Location:
 
 Hybrid (Manchester)
 
 
 
 Salary:
 
 &pound;60,000 - &pound;75,000
 
 
 
 
 
 
 The Opportunity
 
 
 
 
 
 
 This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 
 
 
 
 
 This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 
 
 
 
 
 You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
 <ul>
 <li>
 Designing and building AI-powered applications and services
 </li>
 <li>
 Developing intelligent workflows and agentic systems
 </li>
 <li>
 Integrating LLMs into production software products
 </li>
 <li>
 Building retrieval, context and memory systems
 </li>
 <li>
 Designing robust APIs and backend services
 </li>
 <li>
 Evaluating AI performance, reliability and quality
 </li>
 <li>
 Implementing monitoring, testing and fallback mechanisms for AI-driven features
 </li>
 <li>
 Working closely with engineering leadership to define best practices for AI-native development
 </li>
 <li>
 Contributing to architectural decisions across a modern cloud-based platform
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills
 
 
 
 
 
 
 
 Essential
 
 
 
 
 
 <ul>
 <li>
 Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
 </li>
 <li>
 Experience building applications that utilise Large Language Models (LLMs)
 </li>
 <li>
 Experience designing and delivering production-grade software systems
 </li>
 <li>
 Strong understanding of software architecture and system design principles
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure or GCP)
 </li>
 <li>
 Strong programming skills in TypeScript, Python or similar modern languages
 </li>
 <li>
 Experience integrating external APIs and services
 </li>
 <li>
 Ability to make pragmatic technical decisions and communicate trade-offs
 </li>
 </ul>
 
 
 
 
 
 Highly Desirable
 
 
 
 
 
 <ul>
 <li>
 Experience building AI agents or agentic workflows
 </li>
 <li>
 Experience with Retrieval Augmented Generation (RAG)
 </li>
 <li>
 Experience working with vector databases and semantic search
 </li>
 <li>
 Knowledge of context management and memory architectures
 </li>
 <li>
 Experience evaluating and testing AI outputs in production environments
 </li>
 <li>
 Experience designing AI-assisted automation systems
 </li>
 <li>
 Exposure to frameworks and tooling within the modern AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Who This Will Suit
 
 
 
 
 
 
 This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 
 
 
 
 <ul>
 <li>
 Senior Software Engineer
 </li>
 <li>
 Backend Engineer
 </li>
 <li>
 Full Stack Engineer
 </li>
 <li>
 AI Systems Engineer
 </li>
 <li>
 Applied AI Engineer
 </li>
 <li>
 Platform Engineer with AI experience
 </li>
 </ul>
 
 
 
 
 Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 
 
 
 
 
 
 Why Apply?
 
 
 
 
 
 <ul>
 <li>
 Work on genuinely innovative AI-native products
 </li>
 <li>
 Influence technical direction and architecture
 </li>
 <li>
 Join a team investing heavily in modern AI technologies
 </li>
 <li>
 Solve complex engineering challenges at scale
 </li>
 <li>
 Opportunity to help shape the future of AI-enabled software development
 </li>
 </ul>
 
 
 
 
 They are committed to moving quickly on this with interview slots available.
 
 
 
 
 
 Please apply today.
 
</div>

Deloitte

<div>
 
 Role:
 
 AI Engineers
 
 
 
 Location:
 
 Manchester &ndash; 4 days on client site
 
 
 
 Start Date:
 
 July
 
 
 
 Daily Rate:
 
 Inside IR35
 
 
 
 Payroll provider:
 
 Rockford Payroll
 
 Info for Contingent Workers &ndash; Rockford Pay
 
 
 
 Contract to Perm opportunity &ndash; Based on performance the client may choose to offer associates a permanent role, subject to performance and requirement.
 
 
 This is an exciting opportunity to join Deloitte Operations for an engagement with one of our clients.
 
 
 
 Key Responsibilities
 
 
 
 &Acirc;&middot; AI Agentic Application Development &amp; System Implementation
 
 
 &Acirc;&middot; Build and deploy Generative AI applications, including LLM-powered copilots, assistants, RAG pipelines, and agentic workflows
 
 
 &Acirc;&middot; Implement end-to-end AI application logic, including prompt orchestration, tool integration, API interactions, and response handling
 
 
 &Acirc;&middot; Develop and integrate LLM-based solutions using frameworks such as LangChain or LangGraph
 
 
 
 Experience &amp; Skills Required
 
 
 
 &Acirc;&middot; AI Agentic Application Development &amp; System Implementation
 
 
 &Acirc;&middot; Build and deploy Generative AI applications, including LLM-powered copilots, assistants, RAG pipelines, and agentic workflows
 
 
 &Acirc;&middot; Implement end-to-end AI application logic, including prompt orchestration, tool integration, API interactions, and response handling
 
 
 &Acirc;&middot; Develop and integrate LLM-based solutions using frameworks such as LangChain or LangGraph
</div>

AI Engineers

ConnexAI

<div>
 
 
 Build Low Latency Conversational AI Systems
 
 
 
 We are building real-time conversational AI systems built on top of large language models, speech AI, and agentic workflows. Our platform combines ASR, LLMs, and TTS into production-grade AI systems used globally across enterprise environments where latency, reliability, and scalability matter.
 
 
 
 
 
 We are hiring a Machine Learning Engineer to build low-latency production systems for our LLM team. This role is centred around writing scalable code that enables real-time conversational AI to perform reliably under heavy production workloads.
 
 
 
 
 
 You&rsquo;ll work closely with our LLM and speech teams to solve challenges around inference speed, concurrency, request handling, GPU performance, distributed systems, and real-time response streaming.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Build and optimise low-latency LLM systems for real-time conversational AI
 </li>
 <li>
 Write production-grade Python code focused on performance, scalability, and reliability
 </li>
 <li>
 Design systems capable of handling large volumes of concurrent real-time requests
 </li>
 <li>
 Solve engineering challenges around batching, request scheduling, queue management, streaming responses, and distributed workloads
 </li>
 <li>
 Improve inference speed, GPU memory usage, and overall system responsiveness
 </li>
 <li>
 Deploy and optimise open-source LLMs using tooling such as vLLM, TensorRT-LLM, Triton, SGLang, CUDA, or similar technologies
 </li>
 <li>
 Build scalable orchestration layers and ML pipelines around LLM systems, including RAG and agentic workflows
 </li>
 <li>
 Develop backend inference services and APIs for production AI systems
 </li>
 <li>
 Productionise new model capabilities and features for real-world customer use cases
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 Strong experience writing production-grade software for machine learning systems
 </li>
 <li>
 Strong Python engineering skills
 </li>
 <li>
 Experience building low-latency or highly concurrent systems
 </li>
 <li>
 Strong problem-solving ability and enjoyment of building systems from the ground up
 </li>
 <li>
 Experience with distributed systems, parallel workloads, and performance optimisation
 </li>
 <li>
 Experience working with inference tooling such as vLLM, TensorRT, Triton, CUDA, ONNX, or similar technologies
 </li>
 <li>
 Experience building scalable backend services or ML systems used in production
 </li>
 <li>
 Understanding of real-time systems and performance-focused engineering
 </li>
 <li>
 Strong communication skills and ability to work closely with engineers and researchers
 </li>
 </ul>
 
 
 
 
 
 Why this role?
 
 
 
 You&rsquo;ll work on designing and building low-latency conversational AI systems capable of serving large volumes of concurrent real-time requests. The role focuses on solving difficult engineering challenges around inference speed, reliability, concurrency, GPU performance, and scalable production AI systems.
 
 
 
</div>

Machine Learning Engineer

Explore 29+ Ai compliance officer in Manchester this July. Find roles across top companies and apply now to boost your career.

29 ai compliance officer jobs In Manchester

AI Compliance Officer

Product Manager

Artificial Intelligence Engineer

Data Architect

Artificial Intelligence Engineer

AI Engineers

Machine Learning Engineer