account coordinator

bid and contract coordinator Jobs in London

bid and contract coordinator

brand management coordinator Jobs in London

brand management coordinator

building systems & project coordinator Jobs in London

building systems & project coordinator

clinic coordinator

contract events coordinator

Deloitte

<div><div><div><div><h3 class="jobSectionHeader"><b>Basic information
</b></h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Technology &amp; Transformation
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>02-Jul-2026
</div></div><div><div>Req #
</div><div>23986
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Job description
</b></h3></div></div><div></div><div><div><div><div><p><b>Job Title:</b> Java Developer (FX Trading) - contract</p><p><b>
Location: </b>London Hybrid. Travel to the London office on 2-3 days a week</p><p><b>
Duration:</b> 6 months (with potential to extend)</p><p><b>
Contract Start Date: </b>ASAP *note client onboarding takes 4-6 weeks from offer</p><p><b>
Day Rate:</b> Competitive (Inside IR35)</p><p></p><p><b><br>
Deloitte</b></p><p>
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.</p><p></p><p><b><br>
The Role</b></p><p>
We are looking for an experienced<b> Java Developers</b> to work in the Technology and Transformation Team at Deloitte. You will support the FX trading platforms with one of our global financial services clients. This position requires <b>Java server-side</b> <b>d</b><b>evelopment </b>with <b>FX experience </b>within Financial Services sector, excellent communication skills combined with the tech listed below.</p><p></p><p><b><br>
Essential skill and experience</b></p><ul><li>
Highly technical with strong <b>Java server-side development</b> experience.</li><li>
Must have <b>FX experience </b>within Financial Services sector. Have <b>pricing or algo-trading </b>experience in any asset class</li><li>
Have full technology stack knowledge of <b>Java, Linux </b>and networks.</li><li>
Have excellent <b>communication skills </b>to face off to tech management, Quantitative Strategies Group and trading desk.</li><li>
Full <b>SDLC </b>experience, <b>Git, Jenkins, Ansible</b> etc.</li><li><b>
Advanced programming skills</b> including understanding of algorithms and data structures, design patterns, multi-threading.</li><li>
Experience in <b>3rd line production support</b></li><li>
Have a degree in Computer Science, Physics, Engineering, Mathematics, or relevant analytical degree.</li><li>
Be a strong team player</li><li><b>
KDB / Q</b> experience (Desirable)</li></ul><div></div><b><br>
Deliverables: </b>Responsibilities but not limited to:<br>
<p></p><ul><li>
Design, develop, and implement robust, scalable, and high-performance server-side <b>Java solutions</b> for our algorithmic trading platforms.</li><li>
Engage with the full technology stack, from core Java development to Linux and network optimizations, ensuring seamless end-to-end performance.</li><li>
Provide <b>3rd line production support</b> to diagnose and resolve complex technical issues, ensuring the stability and reliability of our trading systems.</li><li>
Work in <b>close collaboration</b> with the Quantitative Strategies Group and trading desk to understand requirements and deliver innovative solutions.</li><li>
Participate in the full <b>software development lifecycle (SDLC),</b> utilizing tools such as Git for version control, Jenkins for continuous integration, and Ansible for deployment automation.</li><li>
Effectively <b>communicate technical concepts</b> and project status to technology management and other stakeholders.</li></ul><p></p><p><b><br>
IR35</b></p><p>
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</p></div></div></div></div></div></div><div></div>

Contract - Java Developer (FX Trading)

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (UK-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

<div><b>Role description</b><br>
<p></p>
<p><b>
Job Title</b>: Power BI Engineer - Wealth/ Asset management/Finance industry exp</p>
<p><b>
Location</b>: London</p>
<p><b>
Hybrid working model with 3 days onsite mandatory</b></p>
<p><b>
Immediate start</b></p>
<p><b>
Fixed term contract/ Contract inside IR35 only until 31st Dec 2026 with possible extensions</b></p>
<p>
Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship</p>
<p><b>
 </b><b>Overview</b></p>
<p>
We are seeking an experienced Power BI Engineer to support our client's Wealth team. This is a critical hire to ensure continuity of reporting deliverables ahead of key deadlines.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design, develop, and maintain Power BI dashboards and reports for finance/wealth stakeholders</li>
<li>Translate business requirements into data models and visual insights</li>
<li>Support data validation, quality checks, and performance optimisation</li>
<li>Manage and enhance existing reporting solutions during transition period</li>
</ul>
<p><b>Must Have</b></p>
<ul>
<li>Strong experience with Power BI (development, DAX, data modelling)</li>
<li>Proven experience in Finance domain</li>
<li>Ability to deliver under tight deadlines and fast-paced environments</li>
<li>Experience working with stakeholders and translating business needs into reports</li>
<li>Solid understanding of data integration and reporting best practices</li>
</ul>
<p><b>Nice to Have</b></p>
<ul>
<li>Experience with SQL / data warehousing</li>
<li>Knowledge of Azure data tools (e.g., Azure SQL, Data Factory, Synapse)</li>
<li>Familiarity with agile delivery environments</li>
</ul>
<p>If interested, please apply with your updated CV for an immediate discussiion</p>
<p><b>
#UST</b></p><b><br>
Skills</b><p><br>
Power BI,SQL,Finance management,Business intelligence,</p><b><br>
About UST</b><br>
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Power BI Engineer - Wealth/ Finance industry exp (Developer III - Software Engineering)

<div><ul><li><b>Location: </b>London 1-2 days a week.</li>
<li><b>Department:</b> Engineering</li>
<li><b>Employment Type:</b> Contract</li>
<li><b>Contract Length:</b> 6 months (with potential for extension)</li>
</ul><h3 class="jobSectionHeader"><b>About YLD:</b></h3>
<p>
Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We're a team of curious, talented people, and we're committed to making YLD a place where great people want to work, grow, and stay.</p>
<p>
We're a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.</p>
<h3 class="jobSectionHeader"><b>
About the role:</b></h3>
<p>
As a Senior Software Engineer at YLD, you'll be part of a client team building innovative products. We're looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You're also an effective communicator and a strong team player. Together with your team, you'll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.</p>
<h3 class="jobSectionHeader"><b>
Preferred Skills:</b></h3>
<ul><li>Strong backend engineering experience, with Go as a primary or preferred language;</li>
<li>Comfortable working in cloud environments such as AWS, Azure, or Google Cloud;</li>
<li>Experience building and maintaining APIs and backend services, including SaaS platforms;</li>
<li>Familiarity with modern infrastructure and distributed systems;</li>
<li>Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes;</li>
<li>Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization;</li>
<li>Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.</li>
</ul><h3 class="jobSectionHeader"><b>You should apply if you are:</b></h3>
<ul><li>Self-motivated, proactive and always looking for ways to improve and develop yourself;</li>
<li>A good communicator, both in writing and verbally. You'll be able to explain technical ideas and concepts in business-friendly language;</li>
<li>Detail-oriented;</li>
<li>Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;</li>
<li>Used to working in a team-oriented, collaborative environment;</li>
<li>Analytical and problem-solving-oriented;</li>
<li>A genuine believer in diversity and fairness.</li>
</ul><h3 class="jobSectionHeader"><b>What you'll get in return:</b></h3>
<ul><li>The chance to work with a forward-thinking, ethical, and fun group of people and to develop and grow your skills in a fast-moving business</li>
</ul><h3 class="jobSectionHeader"><b>Our typical recruitment process:</b></h3>
<ul><li>1st Interview with a Talent Partner (30/45 mins)</li>
<li>Technical Interview with our Senior Developers (1h30)</li>
<li>Final chat with our Client Partner (30/45 mins)</li>
</ul>
<p><b>Get a glimpse of what it's like working at YLD!</b></p>
<p><b>
Check out our LinkedIn page</b></p>
<h3 class="jobSectionHeader"><b>
We live and breathe our values, and know you will too:</b></h3>
<ul><li>Growing every day</li>
<li>Including everyone</li>
<li>Relationships built on honesty and ethics</li>
<li>Inspiring solutions</li>
<li>Winning together</li>
</ul>
<p><i>We're an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work&ndash;life balance as standard for all employees.</i></p></div><p></p>

Software Go Developer

Houseful

<div><p><b><i>6 months Initial Contract - Must work from the UK</i></b></p><p>
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.</p><p>
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.</p><p>
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.</p>
The Role<p>
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.</p><p>
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:</p><ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters<p>
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</p></div>

AI Engineer (Contract)

PROXIMIE

<div><p>Proximie is on a mission to improve healthcare by transforming the world&rsquo;s operating rooms into connected ecosystems of people, devices, and data.</p><div><p>
Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events &ndash; improving quality of data outputs. The result: ORs are optimised like never before &ndash; with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time.</p><p>
Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce &ndash; improving outcomes and saving lives.</p><p>
Proximie was commercialised in 2019 and is available in over 500 facilities globally.</p><p>
Check out our Founder and CEO Nadine&rsquo;s Origins Story here: https://www.proximie.com/about-us/</p><p>
Position Overview</p><p>
As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decisions making, using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie&rsquo;s continuing evolution into the unrivalled champion of the intelligent operating room.</p><p>
You will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You&rsquo;ll harness the power of Proximie&rsquo;s deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie&rsquo;s customers. You&rsquo;ll also lead the development of intelligent systems that can automatically detect and capture key events in the operating room, designing robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video.</p><p>
This role demands creativity, precision, and a deep understanding of real-world machine learning at scale. If you&rsquo;re excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we&rsquo;d love to hear from you.</p><p>
Responsibilities</p><ul><li><p>
Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world.</p></li><li><p>
Design, train and validate machine learning mono and multi-modal models using state of the art approaches.</p></li><li><p>
Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design.</p></li><li><p>
Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance.</p></li><li><p>
Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie&rsquo;s data lakes.</p></li><li><p>
Document solutions and contribute to internal knowledge sharing and capability building.</p></li></ul><div><p>
Requirements</p><ul><li><p>
PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred.</p></li><li><p>
Minimum of 4 years&rsquo; hands-on experience in industry, developing and deploying AI solutions which solve real-world problems.</p></li><li><p>
Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable.</p></li><li><p>
Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision.</p></li><li><p>
Proficiency with deep learning frameworks such as TensorFlow/PyTorch.</p></li><li><p>
Proficiency with Python and strong software development background.</p></li><li><p>
Knowledge and experience with AWS is highly desirable.</p></li><li><p>
Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable.</p></li><li><p>
Ability to communicate complex technical concepts clearly to non-technical stakeholders.</p></li></ul><p>
Why Work for Proximie?</p><ul><li><p>
You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie&rsquo;s values are Ownership, Deliver Results, Build Trust and Go Beyond.</p></li><li><p>
Generous annual leave.</p></li><li><p>
Two &ldquo;well-being&rdquo; days per year plus the day off for your birthday.</p></li><li><p>
&ldquo;Summer Fridays&rdquo; &ndash; early office closing on Fridays during summer months.</p></li><li><p>
Annual bonus programme &ndash; based on individual contribution.</p></li><li><p>
To support your professional growth, all permanent employees will have access to an annual stipend of &pound;1,000 to assist with personal development activities.</p></li><li><p>
Flexible working hours - we trust our people to manage their time and to focus on wider results.</p></li><li><p>
A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.</p></li><li><p>
Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world.</p></li></ul><p>
Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.</p></div></div></div>

Senior Machine Learning Engineer

<div><b>Role description</b><p><b><br>
Technical Product Owner / Technical Product Manager &ndash; Agentic AI</b></p>
<p><b>
Location:</b> Leeds (Hybrid)<br>
<b>Engagement Type:</b> Contract (Inside IR35) or Fixed-Term Employment<br>
<b>Start Date:</b> ASAP</p><br>
<p></p>
<p>
We are seeking an experienced Technical Product Owner / Technical Product Manager to support a strategic Device Management Modernisation initiative leveraging Agentic AI capabilities.</p>
<p>
Working closely with Product, Engineering, Architecture, and Business stakeholders, you will drive product outcomes, translate business needs into technical solutions, and help deliver innovative AI-powered capabilities while ensuring continuity of existing business processes.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Own and drive product outcomes across the modernisation programme.</li>
<li>Define product priorities, roadmap, and requirements in collaboration with business and technology stakeholders.</li>
<li>Translate business objectives into clear user stories and delivery-ready requirements.</li>
<li>Manage and prioritise the product backlog to maximise business value.</li>
<li>Partner with Engineering and Architecture teams to deliver scalable, high-quality solutions.</li>
<li>Support the design and delivery of Agentic AI use cases and workflows.</li>
<li>Embed Responsible AI, governance, security, and compliance considerations into product delivery.</li>
<li>Act as the primary bridge between Product, Engineering, and Business teams, ensuring alignment throughout delivery.</li></ul><br>
<p></p>
<p><b>
What You'll Bring:</b></p>
<p><b>
Product &amp; Delivery</b></p>
<ul>
<li>Proven experience as a Technical Product Manager, Technical Product Owner, or similar role in a technology-led environment.</li>
<li>Strong understanding of product operating models, product lifecycle management, and Agile delivery.</li>
<li>Experience leading technology transformation or modernisation initiatives.</li>
<li>Ability to translate business requirements into engineering-ready solutions.</li></ul><br>
<p></p>
<p><b>
Agentic AI &amp; GenAI</b></p>
<p><b>
Working knowledge of:</b></p>
<ul>
<li>Agentic AI concepts, including multi-agent orchestration, RAG, AI tool/API integration, memory frameworks, and Responsible AI controls.</li>
<li>Large Language Models (LLMs), prompt engineering, evaluation approaches, and cost, latency, and accuracy trade-offs.</li></ul><br>
<p></p>
<p><b>
Technical &amp; Stakeholder Skills</b></p>
<ul>
<li>Experience working closely with Engineering, Architecture, and Product teams.</li>
<li>Understanding of cloud-native and API-driven architectures.</li>
<li>Strong stakeholder management, communication, and influencing skills.</li>
<li>Ability to engage effectively with both technical and non-technical audiences.</li></ul><br>
<p></p>
<p><b>
Nice to Have</b></p>
<ul>
<li>Experience delivering AI, GenAI, Machine Learning, or Intelligent Automation solutions.</li>
<li>Experience with Microsoft AI, Azure AI, OpenAI, Copilot, or similar AI platforms.</li>
<li>Background in enterprise technology transformation or device management environments.</li></ul><br>
<p></p>
<p><b>
Why Join Us?</b></p>
<p>
Join a high-profile transformation programme and play a key role in shaping the next generation of AI-enabled products while working alongside leading product, engineering, and AI specialists.</p>
<p></p>
<p><b>Hurry &amp; Apply!</b><br>
<b>#UST</b></p><p></p><b><br>
Skills</b><p><br>
agentic ai,life cycle management,artificial intelligence,product management,</p><b><br>
About UST</b><br>
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Technical Product Owner / Technical Product Manager – Agentic AI (Lead I - Software Engineering)

Explore 21+ Contract events coordinator in London this July. Find roles across top companies and apply now to boost your career.