We are looking for an experienced AI Product Engineer to help build and scale AI-powered features within a modern product environment. This is a hands-on engineering role focused on integrating commercial AI APIs into a .NET ecosystem not building models from scratch.

You will design, develop, and deliver production-ready features that rely on services such as Anthropic Claude, AWS Bedrock, and OpenAI. AI-assisted development will be a core part of your workflow, and you will help shape how it is adopted across the engineering team.

This role is ideal for someone who has already worked in a team where AI was embedded into real products and can bring proven patterns, practices, and standards into a new environment.

What Youll Do

• Design and implement AI-powered product features within a C# / .NET stack
• Integrate commercial AI APIs into production systems with reliability and scalability in mind
• Establish best practices for AI integration across the codebase
• Lead by example through AI-assisted development workflows
• Pair with developers and support adoption of tools like Claude Code or Cursor
• Build observable, maintainable systems with strong logging, cost tracking, and guardrails

Must Have

• 5+ years experience with C# / .NET Core
• 7+ years total commercial software engineering experience
• Proven experience designing and shipping AI API integrations in production (.NET)
• Experience setting patterns that other developers adopted across a team
• Hands-on experience introducing AI-assisted development tools into a team environment
• Strong RESTful API design skills (clean, versioned, observable)
• Solid SQL experience (MariaDB or MySQL)
• Focus on quality, resilience, and observability in AI-driven features

Nice to Have

• AWS experience (EC2, RDS, Lambda, S3, Bedrock)
• Product-level prompt design and iteration practices
• Experience with structured outputs, tool use, or function calling
• Frontend exposure (JavaScript, Vue, Nuxt 3)
• Microservices or distributed systems experience
• Familiarity with Shape Up methodology
• Awareness of secure-by-design principles (e.g. ISO 27001)

Not the Right Fit If You

• Focus on training models rather than integrating them
• Come from a data science background without strong engineering experience
• Prefer Python-heavy environments and do not want to work in .NET
• Are sceptical of AI-assisted development
• Have not worked with paid AI APIs in production
• Are looking for a strategy or leadership-only AI role

If youre passionate about building real-world AI features and want to work in a team where AI is part of the engineering craft not just a concept wed love to hear from you.

Benefits:

• Hybrid working - 2 days office based
• Training and Development budget
• Excellent career progression

AI Product Engineer

Location: London

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation.

Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues.

Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.
Job Purpose
As a model implementation actuary within the internal model team at Canada Life, you will be responsible for designing, developing, supporting, testing and documenting Canada Life’s internal models. Ensuring that our internal models meet the needs of users and adhere to Canada Life’s model governance and regulatory requirements.

Key Accountabilities
• Design, develop, support, test and document internal models for credit, interest rate, inflation and equity release mortgages.
• Support the internal model operations team, investigating internal model queries, and proposing solutions.
• Work closely with the internal model design team, to understand new feature developments, and contribute to how these can be implemented within the internal model code
• Act as a conduit between the internal model team and IT to ensure our models are supported by IT and our processes are aligned with other development teams.
• Ensure internal models follow best practice standards
• Manage, coach, develop and motivate junior member of the team to support their development.
• Contribute knowledge sharing to the internal model implementing team

Desired Knowledge / Experience / Skills
Technical Expertise
• Strong capital modelling experience in market, credit and/or equity release mortgage risk space within life insurance industry.
• Experience with using python. Ideally knowledge of good software design principles and unit testing
• Experience with DevOps or GitHub for managing software developments.
• Knowledge of SII and IFRS17
• Use of generative AI

Communication
• Strong communication skills, demonstrating a clear and articulate standard of written and verbal communication in a complex environment, tailored for all levels of management.
• Strong ability to adapt messages to the audience, without prompting or significant coaching, in a format that is easily understood by non-technical colleagues

Relationship Building
• The ability to develop and maintain strong relationships across the actuarial function, IT and the wider business, acting with integrity and role modelling the company values at all times.
• Ability to flex their style and delivery, in the moment, depending on the individual and/or audience.

Taking Initiative
• Exceptional problem solving skills and attention to detail with demonstrable ability in spotting issues, interdependencies and challenges to ensure work is produced to an accurate, commercial and informed standard.
• Self-motivated, well-organised, pragmatic and able to perform tasks independently.

Developing Self and Others
• Strong skills and experience in managing and motivating a team from a diverse range of professional backgrounds and with varying levels of experience
• Strong coaching ability in technical, and non-technical skills in order to support the development of others.
• An interested and inquisitive individual who is committed to their own ongoing professional and personal development

Qualifications
• Fellow of Institute of Actuaries (or equivalent).

Benefits of working at Canada Life
We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that’s regularly reviewed. As a Canada Life UK colleague, you’ll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development.

How we work at Canada Life
Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward.

We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That’s why we offer a range of training, flexible working and opportunities to grow and develop.

Diversity and inclusion
Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we’re making in DEI, and we continue for it to be a significant focus.

“At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all.” Nick Harding, Chief People Officer, Canada Life UK

We appreciate that everyone has different work and life responsibilities. We’re happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you.

Senior Machine Learning Engineer - Agentic AI PlatformLocation: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half

The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based agent engine as it moves toward global production.

What You’ll Do

• Agent Orchestration: Scale multi-step reasoning workflows and optimize agent collaboration.
• Tool Integration: Benchmark and extend toolchains within the agent framework.
• Inference & Performance: Optimize LLM integration, latency, and cost efficiency.
• State & Reliability: Strengthen Redis-backed persistence and ensure system consistency.
• Evaluation & Observability: Build regression frameworks and implement monitoring and tracing.

What We’re Looking For

• Strong Python engineering experience with production-grade systems
• Hands-on with LLM-powered applications and agent orchestration frameworks (e.g., LangGraph)
• Experience with stateful systems, caching, and reliability engineering
• Proficiency in FastAPI, Docker, and Redis
• Comfortable in a small, senior, high-impact team

Why Join?

• Work on a strategic next-gen AI platform
• Direct influence on architecture decisions
• Hybrid working in Central Cambridge
• Excellent benefits and discretionary bonus

Note: UK-based applicants only; full work rights required. No contractor/B2B/B2C roles available.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Compensation: Competitive (Financial Services)

About TradingHub

Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.

With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.

The Role

We’re looking for a Machine Learning Engineer to join our Analytics division and play an important role in enhancing our metrics offering. As our first dedicated ML hire, you’ll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market-leading suite of trade surveillance products.

This role will see you combine hands-on model development and software engineering, and collaborate with a high-performing team of Quant Researchers and Developers as well as other cross-functional departments.

Responsibilities:

• Design, develop, and deploy machine learning models to enhance TradingHub’s market surveillance and analytics platform
• Contribute to the development of advanced metrics used to analyse trader behaviour, order execution and potential market abuse scenarios
• Apply machine learning and statistical techniques to large-scale financial datasets, improving accuracy and reducing false positives
• Leverage LLM and NLP models to extract insights from unstructured data and integrate them into existing analytics workflows
• Collaborate closely with quantitative developers, data engineers, and product teams to productionise models into scalable, high-performance systems

Requirements

• Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
• Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning
• Industry experience using Large Language Models (LLMs) to deliver commercial value
• Experience building data pipelines and performing feature engineering on real-world datasets
• Strong problem-solving skills and attention to detail
• Good understanding of SQL and working with complex datasets
• Keen interest in financial markets e.g. pricing, trading, fixed income

Benefits

Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success.

Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.

Employee Benefits:

• Annual discretionary performance bonus (permanent employees only)
• Hybrid working policy
• Office lunches twice a week
• Private medical insurance + dental cover
• Extended parental leave (up to 6 months of fully paid maternity leave)
• 25 days annual leave + bank holidays
• Enhanced company pension plan
• 5 days study leave towards professional qualifications
• Salary sacrifice schemes
• Death in service coverage

Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don’t let our specification hold you back. Get in touch!

TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications.

We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for a Product Manager to join our UKI Marketing Services team, reporting into the product director. You will help scale AI-enabled, data-driven products across our portfolio. This is an exciting opportunity to work at the intersection of AI and data, where you will help launch products and ensure they deliver value for clients. You’ll focus on translating strategy into execution, embedding AI capabilities into products, and driving adoption, performance, and continuous improvement.

You’ll be part of a collaborative Product Pod, working closely with engineering, data, design, and go-to-market teams to create high-quality, scalable solutions.

What you’ll do

• Deliver and scale AI-enabled products. Support the delivery and continuous improvement of data and AI-powered products, ensuring they meet client needs and drive measurable outcomes.
• Translate strategy into actionable roadmaps. Own and evolve product roadmaps in consideration of broader AI and data strategy, ensuring clear priorities and outcomes within your product scope.
• Embed AI capabilities into products. Work with data and AI teams to integrate reusable AI capabilities into products, accelerating innovation and consistency across the portfolio.
• Improve product performance and optimisation. Monitor product performance, identify opportunities for improvement, and iterate to increase adoption, client value, and commercial impact.
• Collaborate across cross-functional teams. Partner closely with Product Owners, engineers, data scientists, and GTM teams to ensure delivery.
• Understand users and market context. Build understanding of client needs, user journeys, and market trends to inform product enhancements and prioritisation.
• Support go-to-market execution Work with commercial and marketing teams to position products clearly, ensure they understand them well, launch and promote their adoption.
• Maintain product quality and compliance Ensure you follow product lifecycle processes, documentation, and governance requirements consistently.

Qualifications

• Experience in product management within a data-driven environment
• Experience delivering products or features end-to-end, from concept through to launch and optimisation
• Experience working in cross-functional teams (e.g. engineering, data, design, and commercial)
• You will have product management experience in marketing services or data products
• Degree or equivalent practical experience in a relevant field (e.g. business, technology, data, and marketing)

Additional Information

Benefits package includes:

• Hybrid working - 40% office based
• Great compensation package and discretionary bonus plan
• Core benefits include pension, bupa healthcare, sharesave scheme and more!
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

Internal Grade EB8/D

Our uniqueness is that we celebrate yours. Experian’s culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s people first approach is award-winning; World’s Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian’s DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

#LI-ST1 #LI-Hybrid

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Salary to £45k + Company Options Scheme Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business. Role Theyre looking for aJava Engineer to join their implementation team. Youll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration helping their public-sector clients build secure, scalable, and resilient digital services. Youll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. Youll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Experience in Java software engineering and object-oriented design Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security clearance SC DV eDV London home based hybrid junior jnr

Lead Technologist - AI Hybrid - open to Manchester, London, Chippenham, Northampton & Newbury Office Up to £100K (£125K OTE) & Company Benefits As Lead Technologist – AI, you will act as the Bechtle’s lead technical authority for Artificial Intelligence, Copilot, and emerging agentic technologies. This role blends strategic advisory capability with hands-on technical expertise. You will work with customers to define AI strategies, deliver practical AI adoption roadmaps, and build real solutions using modern AI platforms – from discovery and planning through to implementation. Your mission is to translate AI opportunity into practical customer outcomes, helping organisations move from experimentation to operational AI. You will also lead the creation of Bechtle’s AI practice as a framework to grow capability and accelerate AI adoption both internally and for customers. This role combines technology leadership, consulting, and innovation, requiring both high-level strategic thinking and the ability to design and build working AI solutions such as Copilot extensions, AI agents, and intelligent workflows. Job Role Responsibilities \* Lead AI Strategy and Advisory Engagements - Act as a trusted advisor to customers on the strategic adoption of Artificial Intelligence. Lead executive conversations, discovery engagements, and AI strategy workshops that help organisations identify where AI can deliver measurable business value. Translate complex AI capabilities into clear strategic roadmaps and practical adoption plans aligned with organisational priorities, governance requirements, and operational readiness. \* Design and Architect AI-Driven Solutions - Architect practical AI solutions that solve real business problems, combining strategic thinking with hands-on technical capability. Design scalable AI architectures using platforms such as Microsoft Copilot, Azure AI services, and emerging agentic AI technologies. Develop and prototype AI agents, assistants, and automation workflows that augment human capability and enable organisations to operationalise AI within their existing technology environments \* Deliver Copilot and AI Adoption Programmes - Lead customer workshops and advisory engagements focused on Copilot and enterprise AI adoption. Guide organisations through Copilot readiness, governance considerations, and practical use case identification. Demonstrate how AI assistants and agents can enhance productivity, streamline knowledge work, and create measurable improvements in organisational performance. \* Support Strategic Pre-Sales and Complex Solution Engagements - Work closely with Account Managers and Pre-Sales to support strategic AI opportunities and complex transformation programmes. Provide technical leadership during discovery, solution design, and proposal development. Ensure proposed AI solutions are technically viable, commercially aligned, and capable of being delivered successfully within customer environments. \* Build and Develop the Bechtle UK&I’s AI Practice - Lead the creation, growth and maturity of the Bechtle’s AI consulting capability. Identify new service offerings and help develop repeatable frameworks, methodologies, and accelerators for AI strategy, Copilot enablement, and intelligent automation. \* Provide Thought Leadership in Artificial Intelligence - Create and share thought leadership that positions Bechtle as a credible advisor in the rapidly evolving AI landscape. Produce content such as blogs, whitepapers, webinars, and presentations that explore emerging technologies, real-world AI use cases, and practical guidance for organisations adopting AI. Represent the Bechtle at customer and partner events. \* Enable Internal Teams and Build Capability - Mentor consultants and technical specialists within our Solutions & Services division to build internal understanding of AI technologies and solution design approaches. Lead internal enablement sessions, share emerging insights from the AI ecosystem, and help elevate Bechtle’s ability to deliver AI solutions confidently and effectively. \* Drive Innovation and AI Experimentation - Actively explore emerging technologies, platforms, and frameworks within the AI ecosystem. Contribute to internal innovation initiatives, prototype new capabilities such as AI agents and intelligent automation tools and help identify opportunities where new technologies can deliver strategic advantage for customers. Experience \* Extensive IT knowledge (10+ years minimum) \* Prior experience in similar role/level \* Significant exposure to customer C-Level engagements \* Experience in owning and leading large, complex, multi-solution projects \* Professional certifications in AI, cloud, or data platforms (e.g., Microsoft Azure AI, Azure Solutions Architect, AWS/GCP AI/ML certifications, or similar recognized qualifications). \* Experience with Microsoft AI technologies including Copilot, Copilot Studio, Power Platform, or Azure AI services \* Professional certifications in AI, cloud, or data platforms (e.g., Microsoft Azure AI, Azure Solutions Architect, AWS/GCP AI/ML certifications, or similar recognized qualifications). \* Evidence of innovation or thought leadership - such as prototyping AI solutions, publishing technical content, speaking at events, or contributing to open-source or technical communities. \* Degree or equivalent (ideally in Computer Science or related discipline) preferred but not required What we offer \* Hybrid Working (3 days in/2 days out) \* Salary package: £90,000 - £100,000 base (£112,000 – 125,000 OTE) \* Location – Near one of UK offices (Chippenham, Newbury, London and Manchester), and willing to travel \* Culture – Social events, supportive, fun, hard working o Perks – Incentives (holidays, vouchers, lunches, spot prizes). \* Top of the range technology in office and for home working (laptops, screens, latest iPhone, etc) \* Subsidised health care/medical benefits \* Annual Leave – 30 days plus bank holidays + optional 2 weeks unpaid. \*Increases with time spent \* Progression Plan – training & mentor programme

I’m looking for an experienced Blue Prism Developer to join a growing Process Excellence & Automation environment, delivering high‑quality, scalable automations that drive real business impact. This is a hands‑on, fast‑paced role, ideal for someone who enjoys building robust automation solutions and improving processes across multiple business functions. This role requires the ability to work part‑office based in London on a weekly basis. The opportunity: You’ll focus primarily on end‑to‑end automation delivery, spending around 80% of your time building, enhancing, and maintaining Blue Prism solutions. While you’ll typically join after process analysis, you’ll also contribute technical insight early on to help shape optimal solution design.
You’ll play a key role in improving operational efficiency through continuous improvement, impact analysis, and the delivery of automations to a high standard.What you’ll be doing: Developing end‑to‑end Blue Prism automations in line with best practices
Enhancing and optimising existing automations, following strict change control
Conducting impact analysis to assess effects on wider operations
Collaborating with Business Analysts and stakeholders on future‑state solution design
Delivering a minimum of 8 completed automation projects per year
Producing detailed SIT and UAT scripts and leading structured test cycles
Preparing deployment plans, schedules, environment readiness, and Hypercare documentation
Supporting production environments, including triage and root cause analysis when required Key experience and skills I’m looking for: Recent (within the last 4 years) hands‑on Blue Prism development experience - essential
Blue Prism Professional Developer accreditation - mandatory
Minimum 2+ years’ experience building Blue Prism automations, including advanced concepts
Demonstrated track record of delivering 8+ automation projects per year
Background in software development or system configuration (e.g. C#, C++, Java, or similar)
Experience integrating Blue Prism with RESTful APIs and web services
Strong understanding of Blue Prism architecture and infrastructure
Excellent logical thinking and ability to interpret complex process maps You must be based within a commutable distance to London as the role is part office based Please contact Kamilla Ryan () if you are interested. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base.

The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies “MDA”, products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners.

SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry.

We’re seeking an experienced and versatile Senior Sensor Engineer join our Edge Team. This is a rare opportunity to help define and deliver our cutting-edge Maritime Surveillance and Fisheries Monitoring solutions, working at the intersection of hardware, software, and advanced sensor technologies.

About the role of Senior Sensor Engineer - (not exhaustive):

In the Edge Team, you’ll work on the “sensors at the fringe” fixed and mobile surveillance equipment such as radars, cameras, RDF, AIS, and other specialist maritime sensors. Your mission as a Senior Sensor Engineer will be to integrate, calibrate, and optimise these systems in non-production environments, building the software that makes their outputs usable for downstream systems and training our Delivery Team for fielddeployment.

The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You’ll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance edge solutions to life.

What You’ll Be Doing - Senior Sensor Engineer

• Design, develop, and maintain edge-sensor solutions focusing on performance, reliability, and scalability.
• Build test infrastructure to capture and analyse quality and performance metrics
• Work across the stack - UI, backend, robotics, device integrations, networking - learning new technologies as needed
• Collaborate with cross-functional teams to plan, build, and test complex functionality
• Diagnose and resolve technical issues through root cause analysis
• Automate SDLC processes to improve efficiency and reduce manual effort
• Produce and maintain technical documentation
• Mentor peers, contribute to code reviews, and promote collaborative working practices

What You’ll Bring - Senior Sensor Engineer

• Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust.
• Broad exposure to remote sensing disciplines, including:
  • Mathematics, physics, and geospatial mapping
  • Working with sensor hardware and electronics
  • Networking principles, protocols, and services
  • Application development across embedded, desktop, and web platforms
  • Video and radar signal processing (e.g., OpenCV)
  • AI-based, hardware-accelerated image processing (e.g., YOLO)
• Familiarity with Enterprise Systems architecture
• Experience with version control systems (Git) and SDLC automation tools
• Excellent problem-solving, debugging, and collaboration skills

Our Values at SRT

Ambition - Aspiring to lead in maritimedomain management
Innovation - Driving improvement through creativity and forward-thinking
Quality - Committing to high standards in performance and reliability
Responsibility - Being individually accountable and team-driven
Team - Collaborating openly with colleagues, partners, and customers

Why Join Us?

• Work on mission-critical maritime surveillance systems used worldwide
• Be part of an ambitious, innovative, and supportive team
• Make a direct impact on global maritime safety and sustainability
• Enjoy flexible hybrid working
• Competitive salary and benefits, including:
  • Matched pension contributions up to 5%
  • Private health care
  • Development and training programmes

SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

Birmingham | Hybrid £55,000 – £65,000 + excellent benefits We are partnering with an established, customer-focused business based in Birmingham that continues to invest significantly in its data and technology capabilities. They are seeking to appoint a Senior Data Engineer to play a pivotal role in developing their Azure data estate and to drive the next phase of their platform modernisation journey. This is an excellent opportunity for a hands-on engineer who thrives on ownership, influencing technical direction, and collaborating closely with the wider business to deliver impactful data solutions. The role offers a genuine blend of technical delivery, platform enhancement, and leadership exposure What's the job? You will be responsible for leading the design, development and optimisation of scalable data solutions within a modern Microsoft Azure environment. A key focus of the role will be enhancing data integration, modelling, and accessibility to support reporting and operational decision-making, while facilitating the ongoing migration from legacy systems to Azure. You will collaborate closely with internal Business Intelligence and technology teams, helping to establish best practises across data engineering and platform performance. Key Responsibilities Lead the design and optimisation of data pipelines and ETL/ELT workflows Develop scalable solutions across Azure Synapse, Data Factory, and Data Lake Support the ongoing evolution of the wider Azure data platform Enhance data models and reporting layers that underpin downstream BI solutions Collaborate with stakeholders across operations, finance, and technology teams Define and promote best practises around data quality, security, and governance Support cloud migration and platform modernisation initiatives Drive continuous improvement in performance, automation, and reliability Provide technical leadership and guidance across engineering projects Person Specification We welcome applications from strong engineers with solid experience across the Microsoft data stack, particularly: Azure Synapse Azure Data Factory Azure Data Lake SQL ETL/ELT pipeline development Power BI data modelling and reporting integration Experience with SSIS, SSRS, or legacy SQL environments (desirable) Most importantly, we seek someone who combines strong technical expertise with a commercial mindset and a collaborative approach. You are not expected to meet every requirement. Strong Azure data engineering experience remains the key priority. Why This Opportunity Is Worth Exploring Greater ownership and influence A modern Azure cloud environment A visible, impactful role within the business Long-term career progression opportunities A balanced blend of hands-on technical work and leadership exposure

• Location: United Kingdom (Fully remote - must live and be able to work in the UK)
• Job Type: Full-time
• Eligibility: Must have full right to work in the UK (no sponsorship available)

I am very excited to offer an opportunity for a skilled Data Engineer with expertise in Celonis to join a well-established, international professional services organisation.

This company is renowned for delivering data, analytics, and automation solutions to large, complex businesses, particularly in finance, operations, supply chain, and customer functions. As part of their UK delivery team, you will play a crucial role in supporting major transformation programmes through practical, hands-on data engineering.

Day-to-day of the role:

• Design, develop, and maintain scalable data pipelines to feed Celonis from various source systems.
• Build, integrate, and optimise SQL Server-based data warehouse pipelines.
• Support migration initiatives towards a modern Microsoft Fabric architecture.
• Develop and maintain Celonis data models using Celonis Data Integration.
• Translate business and reporting requirements into technical data specifications.
• Write and optimise SQL and Celonis PQL queries to support dashboards and analysis.
• Develop Python scripts for data cleansing, transformation, and automation.
• Implement data quality checks and reconciliation processes across systems.
• Provide technical support to analysts and business users working with Celonis.
• Ensure adherence to data governance, security, and access control standards.

Required Skills & Qualifications:

• Proven commercial hands-on experience with Celonis in a delivery environment.
• Strong experience with Celonis Data Integration and analysis development.
• Solid SQL skills (data transformation, optimisation, and performance tuning).
• Proficiency in Python for data engineering and automation tasks.
• Good understanding of ETL / ELT processes and data modelling.
• Experience working within Agile delivery teams.
• Strong analytical skills and meticulous attention to detail.
• Ability to engage effectively with both technical and non-technical stakeholders.

Desirable Skills:

• Celonis Data Engineer certification.
• Experience with SQL Server and Microsoft Fabric.
• Experience integrating data from enterprise platforms (ERP, CRM, finance systems, etc.).
• Experience in a consulting or client-facing delivery role.
• Familiarity with cloud data platforms (Azure, AWS, or GCP).

Benefits:

• Opportunity to work in a dynamic, international environment.
• Competitive salary+ bonus and benefits package.
• Professional development and career advancement opportunities.
• Flexible working arrangements (remote / hybrid).

To apply for this Celonis Data Engineer position, please apply with an updated CV

We are looking for an experienced AI Product Engineer to help build and scale AI-powered features within a modern product environment. This is a hands-on engineering role focused on integrating commercial AI APIs into a .NET ecosystem not building models from scratch.

You will design, develop, and deliver production-ready features that rely on services such as Anthropic Claude, AWS Bedrock, and OpenAI. AI-assisted development will be a core part of your workflow, and you will help shape how it is adopted across the engineering team.

This role is ideal for someone who has already worked in a team where AI was embedded into real products and can bring proven patterns, practices, and standards into a new environment.

What You ll Do

• Design and implement AI-powered product features within a C# / .NET stack
• Integrate commercial AI APIs into production systems with reliability and scalability in mind
• Establish best practices for AI integration across the codebase
• Lead by example through AI-assisted development workflows
• Pair with developers and support adoption of tools like Claude Code or Cursor
• Build observable, maintainable systems with strong logging, cost tracking, and guardrails

Must Have

• 5+ years experience with C# / .NET Core
• 7+ years total commercial software engineering experience
• Proven experience designing and shipping AI API integrations in production (.NET)
• Experience setting patterns that other developers adopted across a team
• Hands-on experience introducing AI-assisted development tools into a team environment
• Strong RESTful API design skills (clean, versioned, observable)
• Solid SQL experience (MariaDB or MySQL)
• Focus on quality, resilience, and observability in AI-driven features

Nice to Have

• AWS experience (EC2, RDS, Lambda, S3, Bedrock)
• Product-level prompt design and iteration practices
• Experience with structured outputs, tool use, or function calling
• Frontend exposure (JavaScript, Vue, Nuxt 3)
• Microservices or distributed systems experience
• Familiarity with Shape Up methodology
• Awareness of secure-by-design principles (e.g. ISO 27001)

Not the Right Fit If You

• Focus on training models rather than integrating them
• Come from a data science background without strong engineering experience
• Prefer Python-heavy environments and do not want to work in .NET
• Are sceptical of AI-assisted development
• Have not worked with paid AI APIs in production
• Are looking for a strategy or leadership-only AI role

If you re passionate about building real-world AI features and want to work in a team where AI is part of the engineering craft not just a concept we d love to hear from you.

Benefits:

• Hybrid working - 2 days office based
• Training and Development budget
• Excellent career progression

AI Product Engineer

(MS Fabric focus) - Warrington (hybrid)

We’re working with a well-established business that’s investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform.

This is a senior, hands-on role where you’ll take ownership of a Fabric-centric data estate, lead technical decisions, and work closely with BI teams, data scientists and senior stakeholders. They’re looking for someone who enjoys building scalable data platforms, mentoring others, and turning complex business requirements into robust technical solutions.

What’s in it for you?

• Hybrid working from their Warrington office
• Salary up to £65K + 10% bonus
• 20 days annual leave + BH – increases with service
• Pension
• Enhanced sick pay
• Buy and sell holidays
• Life assurance
• Health & wellbeing benefits
• Employee Assistance Programme
• Cycle to Work
• Long service awards
• Work with modern tech including Microsoft Fabric, Azure AI and ML tooling

Key skills

• Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse)
• Solid data engineering background using SQL, Python, PySpark, Delta Lake
• Experience building and optimising end-to-end data pipelines
• CI/CD experience for analytics and data platforms (Azure DevOps or GitHub)
• Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI
• Strong knowledge of Power BI and/or Qlik at enterprise scale
• Confident communicator, comfortable working with senior stakeholders
• Previous experience mentoring data engineers

Day to day

• Owning and developing the organisation’s Microsoft Fabric data platform
• Designing and building scalable, reliable data pipelines and architectures
• Leading the move from legacy and hybrid platforms to a modern Fabric setup
• Supporting BI teams with semantic models, datasets and performance optimisation
• Enabling ML and MLOps workflows, from feature engineering to deployment
• Working closely with data scientists, analysts, IT and the wider business
• Embedding data quality, governance and best-practice standards
• Providing technical leadership and coaching to other engineers

If this sounds like your next move, apply now or email

*Please note this role cannot offer sponsorship and isn’t suitable for those on graduate or short term visas\

As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff.
Forward Role is operating as an employment agency.

Real-Time Software Engineer (C++) - News Engineering @ LSEG

Help us shape the future of real-time news delivery and join a team powering the heartbeat of global information! LSEG’s News Engineering group is looking for Software Engineer to help evolve our real-time news collection and distribution platform. If you’re motivated by high-performance systems, real-world impact, and incorporating modern engineering practices in a dynamic and forward-thinking environment - this is your opportunity.

This role is ideal for mid-level engineers who thrive as individual contributors and want to grow their expertise in real-time systems, C++, and cloud-native development.

As a software engineer in the News team at LSEG, you will write clean, efficient C++ and Python code for both on-prem and cloud-hosted environments. Work with structured data formats like XML, JSON, HTML, and XSLT - and learn how they power News industry standards. Collaborate in a scrum team crafting solutions and delivering new features. Be responsible for your code by writing automated tests, participating in code reviews, and supporting production systems. Help automate deployment, upgrades, and maintenance using modern DevOps tools. Occasionally provide on-call support for critical systems (we keep it reasonable).

What We’re Looking For

• Solid experience with C/C++ on Linux and real-time systems.

• Experience with cloud infrastructure and container orchestration.

• Practical experience in using IP-based protocols (TCP/IP, UDP, HTTPS, etc)

• Familiarity with unit testing, especially using Google Test.

• Understanding of network protocols and distributed systems.

• Strong problem-solving skills

• Ability to work independently and communicate clearly.

Bonus Points

• Hands-on experience with Python, Google Test framework, GitLab CI/CD, Kubernetes, or Terraform

• Knowledge of NewsMLG2 or similar standards and experience implementing a standard format at speed

Why Join Us?

• Impact: Your work helps deliver critical news to millions in real time.

• Growth: Learn from expert engineers and expand your skills across cloud, data, and resilient systems.

• Culture: We value curiosity, ownership, and teamwork. You’ll work in a globally distributed team that supports each other.

• Flexibility: Hybrid work options and a balanced work-life environment

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Citi is seeking a highly motivated candidate for Senior Python developer in Wholesale Credit Risk Technology team that serves Institutional Credit Management (ICM). We are looking for a talented professional with a solid technical acumen to partner with onshore and offshore teams and design and deliver innovative technology solution for the front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI , MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology initiatives targeted to maintain lead position among its competitors.

Job Requirements

• Research and resolve complex issues, escalating as appropriate.
• 5+ years of hands on experience in building an enterprise scale highly componentized application using Python, FastAPI
• Hands on development experience in Python
• Experience working with CI/CD pipelines, Kubernetes and other containerized platforms.
• Ability to effectively interact, collaborate with development team
• Ability to effectively communicate development progress to the Project Lead
• Work with developers onshore, offshore and matrix teams to implement a business solution
• Investigate possible bug scenarios and production support issues
• Recent experience with modern Python Development using Large Language models, Model Context Protocol, & Retrieval Augmented Generation (RAG) architecture
• Experience developing application in Financial Services industry is preferred

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.

The Team: Innovating at Scale
Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you’ll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We’re not just adopting AI; we’re building the intelligence that powers our enterprise.

The Role:
We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept.
This is an Individual Contributor (IC) role with no direct people management responsibilities.
Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you’re a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.
As a Staff Generative AI Engineer, you will:

• Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
• Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
• Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
• Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready.
• Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.
• Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state-of-the-art AI-assisted development tools like Devin and Copilot to amplify your productivity and creativity.
• Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.
• Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
• Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.

Minimum Qualifications:

• Proven professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept.
• Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage.
• Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).
• Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.
• Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments.
• Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems.
• Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases.

Preferred Qualifications (Bonus Points):

• Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang.
• Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask.
• Familiarity with messaging and integration platforms such as Kafka or JMS/MQ.
• Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications.
• Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.
• A proven track record of contributing to open-source projects or publishing relevant research in AI/ML.

Why You’ll Love Working Here:

• Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future.
• Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot.
• Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight.
• Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success.
• Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days).
• Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.

Join us to build the future of intelligent enterprise solutions!

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Systems & Engineering ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Role profile:

We are seeking a knowledgeable Quantitative Developer to join the Sustainable Index Research and Design team at FTSE Russell, a wholly owned subsidiary of the London Stock Exchange Group. The role reports directly to the Head of Sustainable Index Research and Design. The Sustainable Index Research & Design team is responsible for the development, design, and research of sustainable indices and related materials. The team works closely with both internal front- and back-office departments, as well as FTSE Russell’s partners and key clients, including major asset owners, fund managers, and investment banks, in the creation of new index products.

ROLE SUMMARY:

• We are seeking a Python Developer to join our team in developing scalable and efficient software solutions to support investment analytics and index construction.
• This role involves full lifecycle development, from design and implementation to continuous deployment, and close collaboration with quantitative researchers and product teams.
• The successful candidate will contribute to automating analytics, integrating research models, and enhancing performance and maintainability of our codebase.

WHAT YOU’LL BE DOING:

• Implement Python applications using object-oriented programming principles.
• Participate in the full software development lifecycle, including conceptualization, development, testing, and deployment.
• Analyse and optimize existing code for performance and maintainability.
• Work closely with quantitative researchers to integrate models and algorithms.
• Develop scalable, automated investment analytics and reporting tools.
• Collaborate to design and develop new index products.
• Respond to internal and external research queries related to index construction and analytics.

WHAT YOU’LL BRING:

• Bachelor’s or Master’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related technical field.
• Strong Python programming skills with an emphasis on object-oriented design
• Experience using data analysis libraries such as pandas and numpy, and visualisation tools like Matplotlib or Plotly.
• Familiarity with version control (Git) and collaborative development workflows, and software testing principles and frameworks
• Ability to clearly communicate technical concepts within a multi-functional team.
• A proactive outlook with a willingness to learn and adapt in a fast-paced environment.
• Strong time management and the ability to handle fast turnarounds and shifting priorities.
• Ideally, a background or interest in financial markets, financial instruments, sustainable investment and investment analytics.

WHAT YOU’LL GET IN RETURN:

• A comprehensive compensation package that includes a competitive salary, performance-based bonuses, and a robust benefits programme.
• Opportunities for ongoing training and professional development, including access to workshops, seminars, and conferences to improve your skills and advance your career.
• A flexible work environment that supports a healthy work-life balance, including remote work options and generous paid time off.
• The opportunity to contribute to meaningful projects that drive sustainable investing practices, making a positive impact on the environment and society.
• A dynamic and inclusive workplace where diverse perspectives are valued, encouraging collaboration and innovation among team members.
• The chance to participate in our thought leadership initiatives, influencing industry discussions on sustainable investing.

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Lead Machine Learning Engineer Location : London Days in office : 2 days onsite Contract length : 6 months Contract engagement: inside IR35 We are looking for a Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) to design, build, and productionise machine learning models that power our new matching platform. You will work across the full ML lifecycle - feature engineering, model development, training pipelines, deployment automation, inference optimisation, monitoring, and explainability. In this role, you will make strong hands-on technical contributions, take ownership of key components of the ML platform, and collaborate closely with data scientists, platform engineering, and product teams. You will help improve our MLOps practices, enhance observability, and ensure that our ML systems meet standards for security, performance, and compliance. This role is suited to an experienced engineer who can deliver production-grade ML systems, influence design decisions, and maintain high technical standards, while still working primarily as an individual contributor. Feature Engineering 1. Build and maintain scalable feature pipelines within data lakehouse architectures. 2. Develop fallback feature flows (e.g., export paths). 3. Implement robust data quality checks and contribute to the adoption of feature store patterns. Model Development & Scoring 1. Develop ranking, scoring, and entity-similarity models fit for the matching platform. 2. Implement calibrated confidence scores, thresholds, and model scoring logic. 3. Use modern ML Model frameworks such as PyTorch, TensorFlow, or XGBoost. 4. Collaborate with data scientists on model design and performance improvements. Explainability & Reason Codes • Apply SHAP or similar techniques to generate interpretable model explanations. • Produce reason codes suitable for business, operational, or regulatory consumption. • Ensure explainability outputs are versioned, tested, and integrated into inference workflows. ML Deployment & MLOps 1. Build and maintain training, processing, and inference pipelines using AWS SageMaker. 2. Integrate models with model registries and implement automated deployment patterns. 3. Support rollback and redeploy mechanisms for weight updates or model iterations. 4. Contribute to CI/CD improvements for ML-specific workflows. Inference Runtime & Cross-Account Serving 1. Deploy and optimise low-latency, real-time inference endpoints. 2. Implement secure AWS IAM patterns supporting cross-account inference access. 3. Build telemetry for request logging, performance tracking, and latency monitoring. 4. Solve runtime issues and optimise throughput and cost. Monitoring, Drift Detection & Telemetry 1. Implement feature drift and concept drift monitoring. 2. Build dashboards, alerts, and critical performance metrics to detect model degradation. 3. Develop telemetry and logging frameworks that respect data minimisation principles. Security, Compliance & ML Governance 1. Apply procedures for data handling, encryption, PII minimisation, and auditability. 2. Produce Model Cards, documentation, and lineage artefacts needed for governance. 3. Ensure that ML pipelines meet internal standards for reproducibility and traceability. Testing, Validation & Performance 1. Conduct validation of models using golden datasets, baseline tests, and regression testing. 2. Optimise models for latency-sensitive inference paths. 3. Support A/B tests, shadow deployments, and progressive rollout strategies. Essential 1. Strong experience delivering production ML systems end-to-end. 2. Proficiency with AWS SageMaker (training jobs, processing, endpoints, Model Registry). 3. Excellent Python skills and experience with ML Models such as PyTorch, TensorFlow, or XGBoost. 4. Hands-on experience with model explainability tools such as SHAP. 5. Understanding of low-latency, real-time inference patterns and optimisation techniques. 6. Experience implementing drift detection, monitoring, and telemetry. 7. Working knowledge of ML governance, data privacy, and secure ML practices. 8. Strong understanding of MLOps, CI/CD, and automation for ML workflows. Nice to Have 1. Experience working with feature stores or Lakehouse data architectures. 2. Previous experience with ranking, matching, or similarity models. 3. Familiarity with cross-account AWS IAM patterns and multi-account design. 4. Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent 5. degrees.

Role profile:

Are you an experienced software engineer with a passion for productioni z ing data science solutions? Do you want to build innovative products for financial professionals using cutting edge tech ? If so, we’d love to talk to you.

Role summary:

You will be working for a growing organization.

You will develop of high-impact, scalable AI solutions.

You will combine strategic thinking, strong problem-solving skills, and a collaborative approach to ensure your team successfully ships great products .

What you’ll be doing:

• Design and development of scalable software products .

• Solve complex technical issues, optimize workflows, and provide strategic insights to partners to support project goals and timelines.

• Collaborate closely with Data Science , research and product teams

• Set high technical standards

• This is a hands-on, individual contributor role

What you’ll bring:

Essential skills:

• Expert-level Python skills

• Extensive experience in software engineering with a focus on designing and implementing high-performance, scalable systems.

• Experience working cross functionally with Product and Research teams

• Experience in cloud technologies (emphasis on Azure) and deployment practices, ensuring seamless and scalable delivery.

• Experience working with ML and Data Science teams and productionizing ML solutions.

• Proven ability to uphold coding and design standards to ensure high-quality, maintainable code.

• Effective communication skills, with experience communicating with both technical and non-technica l colleagues

• Working knowledge of DevOps, including CI/CD pipelines, automated testing, and monitoring

• Experience in Fintech is a plus

Education

Degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience

What you’ll get in return:

• High-impact projects : We work on a variety of pioneering AI products and leverage extensive datasets to solve high-value challenges.

• Competitive benefits : We offer a market leading compensation package, great benefits, and ongoing investment in career growth and skill development.

• Industry leadership : We deliver brand-new products that democratize modeling and analytics solutions.

• Career progression : We are a growing organization and w e provide opportunities for continuous learning and development

• We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour , national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
FX Technology - Cross Border Payments Developer (AVP)

About Citi
As the world’s most global bank, Citi gives you the tools to be a trailblazer. We’re not just building technology; we’re building the future of banking. With thousands of employees located around the globe, we are an international team encompassing a broad range of teams, roles, and cultures, and we invite you to come and join us!
Citi’s technology team supports business operations in 100+ countries, across multiple lines of business spanning both Institutional and retail businesses.
The group works to optimize the IT environment by standardizing production platforms, reducing complexity, and introducing innovative solutions that provide new business capabilities, reduce total cost of ownership, and create a competitive advantage for Citi.
We want to regularly engage with talented individuals who are passionate about producing clean, testable code as part of a high performing team. We have found this to be way more important than experience in the financial sector.
We welcome applications from any industry and should you wish to apply your application will be reviewed for a multitude of Developer positions at varying levels.

About FX Tech
Citi FX has a physical presence in 83 countries with 1,400 dedicated staff giving us the largest FX presence of any bank globally. Foreign Exchange has been one of the defining businesses of Citi for much of its 200 year existence.
Citi has the largest FX presence of any bank globally and we proudly put this down to delivering unrivalled service and insight to our clients. Increasing investment in technology has seen us roll out award winning applications. Technology is a central pillar for our plans to sustain and grow our FX business.
Above all, we seek individuals who seek exceptional attitude and aptitude in the people they work with and have a demonstrated passion for delivering FX technology in support of our #1 FX business.

Role Overview/What will you do:

• Java development as part of an AI-first, focused team of engineers working on cross-border payments modernization
• The successful candidate will work with teams across FX Technology to support the implementation of solutions that benefit the business
• The role does not involve budget responsibility
• The successful candidate will work with teams across FX Technology and Payments to define and then implement solutions
• Develop against an evolving system architecture using an AI First approach, working with end-users of the systems, and enhancing the quality of deliverables
• Follow best practices and processes for the department and support transparency and consistency within immediate team and the wider FX team

Key Skills and Experience required

• Prior experience working in a team that has contact with sales or trading business teams is required.
• Demonstrable understanding of FX products is preferred.
• Proven track record of developing aspects of new systems, migrating legacy systems and renovating existing systems
• The candidate will have a strong systems (software, hardware, networks) knowledge required to define solutions and trouble shoot issues
• Exceptional communicator who loves working with people, confident communicating with immediate team and stakeholders
• Hands on engineer, confident to deep dive into a product and codebase and offer detailed, constructive analysis and feedback
• Experience in collaborating and influencing cross-functional teams

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

What we’ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Visit our About Us | Culture, Values & Benefits page to learn more.

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

AI Engineer - Databricks and Spark essential London based. Start in May until 31st Dec. Certain Advantage are recruiting for an AI Engineer with hands on Databricks and Spark expertise. Industry experience in commodity or financial trading is strongly preferred. This is a fantastic opportunity to partner with traders and trading analysts to rapidly build AI‑powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed. Someone with familiarity in market microstructure, supply‑demand fundamentals, risk management with confident collaboration and engagement skills with trading teams would be ideal. Responsibilities to include Design and ship AI‑driven analytics for front‑office use (seasonality, correlation, regression, forecasting, scenario modelling). Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance. Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data). Collaborate directly with traders/analysts—translate ambiguous questions into shippable solutions; communicate insights clearly. Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails. Productionize solutions with testing, observability, versioning, and documentation.What we’re looking for Hands‑on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog). Proven data engineering skills (ingestion, modelling, orchestration, performance tuning). Strong statistics/economics/data science fundamentals for market time‑series. Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services. Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage). Excellent stakeholder skills; able to work on‑desk with traders/analysts and deliver fast. Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips