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client relationship coordinator client onboarding and invoicing

ClearRoute

<div>About Us:
ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.
We take as much pride in our people, culture and work-life balance as we do in making better software. We&rsquo;re not just making better software. We&rsquo;re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.
Role:
At ClearRoute, the Technical Delivery Manager is the operational backbone of an engagement: running governance, managing risk, coordinating delivery teams, and keeping clients and ClearRoute aligned. Unlike a pure project manager, we are looking for a Technical Delivery Manager whi is is engineering-literate and leads delivery in an engineering-first way, holding the team to strong Agile and engineering-excellence practices. 
Key Responsibilities:<ul><li>
Establish and run the Delivery Playbook governance structure and cadence (kickoff, planning, execution, closure)</li><li>
Facilitate communication between client and ClearRoute; maintain a clear view of who is working on what and who the stakeholders are Capture delivery data, RAG status, risks and insights for governance reporting (bi-weekly and monthly delivery reviews)</li><li>
Manage engagement risk to protect ClearRoute's interests; identify and decouple dependencies</li><li>
Coordinate workstreams, coach the team, ensure quality of deliverables and adherence to Agile practices</li><li>
Run the Delivery Health Check Toolkit regularly to gauge team health/performanc</li><li>
Own engagement closure: sign-off of deliverables, engagement review, case study and IP capture</li></ul> 
Required Experience:<ul><li>
Proven track record managing software delivery engagements end-to-end (on time, on scope, on budget), ideally in a consultancy or client-facing services environment.</li><li>
Strong working knowledge of Agile delivery methodologies (Scrum/Kanban) and modern engineering practices (CI/CD, DORA metrics, quality engineering), with enough technical literacy to challenge and guide engineering teams.</li><li>
Excellent stakeholder management and communication skills, including the ability to build trust with senior client stakeholders and economic buyers.</li><li>
Demonstrable risk and dependency management capability, with sound commercial judgement to protect delivery and margin.</li><li>
Experience running delivery governance and reporting &mdash; status, RAG, risk logs &mdash; and presenting to client and internal leadership.</li><li>
Ability to coach and coordinate multidisciplinary teams, and to operate pragmatically by adapting process to context rather than applying it rigidly.</li></ul> 
Desirable Experience:<ul><li>
Background as a hands-on software engineer or technical lead before moving into delivery management.</li><li>
Experience across multiple engagement models (Time &amp; Materials, Capability/squad-based, and Outcome/OKR-based).</li><li>
Familiarity with cloud, DevOps, and test-automation domains
</li><li>Experience setting up engagements from scratch &mdash; onboarding teams onto client systems, co-creating backlogs, and establishing delivery cadence.</li></ul> 
Working at ClearRoute 
We have grown from six founders to 180+ people across five countries in three years, and what sets us apart isn't the pace, it's how we grow.<ul><li> 
Real flexibility, in practice. We trust you to perform at your best and still have a life outside of work, with genuine hybrid working, a home office budget, an open feedback culture where your voice shapes decisions, and time off when life needs it (birthday included).</li><li> 
When ClearRoute wins, you win. We offer profit share so success is shared, meaningful recognition for great work, and benefits that look after you and your family, including private healthcare, competitive salary benchmarking, and a confidential employee assistance program covering counselling, mental health support, and financial wellbeing.</li><li> 
A community you'll genuinely want to be part of. Interest based communities like running and book clubs, Women in Tech group, monthly socials, and cross regional events bring people together across the company. An inclusive, collaborative culture where you don't need to conform to succeed, where people support one another and feel comfortable being themselves.</li><li> 
Where meaningful work meets real growth. You will tackle complex, real world problems at the forefront of platform engineering, AI, security, and scalable systems. Your growth is supported by learning budgets, Udemy access, a clear career framework, internal mobility, and thought leadership opportunities that take your impact beyond ClearRoute.</li></ul>
At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis.
We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at join@clearroute.io</div>

Technical Delivery Manager

Deloitte

<div><div><div><div><h3 class="jobSectionHeader">Basic information
</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">Job description
</h3></div></div><div></div><div><div><div><div>Job Title: Java Developer (FX Trading) - contract
Location: London Hybrid. Travel to the London office on 2-3 days a week
Duration: 6 months (with potential to extend)
Contract Start Date: ASAP *note client onboarding takes 4-6 weeks from offer
Day Rate: Competitive (Inside IR35) 
Deloitte
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. 
The Role
We are looking for an experienced Java Developers 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 Java server-side development with FX experience within Financial Services sector, excellent communication skills combined with the tech listed below. 
Essential skill and experience<ul><li>
Highly technical with strong Java server-side development experience.</li><li>
Must have FX experience within Financial Services sector. Have pricing or algo-trading experience in any asset class</li><li>
Have full technology stack knowledge of Java, Linux and networks.</li><li>
Have excellent communication skills to face off to tech management, Quantitative Strategies Group and trading desk.</li><li>
Full SDLC experience, Git, Jenkins, Ansible etc.</li><li>
Advanced programming skills including understanding of algorithms and data structures, design patterns, multi-threading.</li><li>
Experience in 3rd line production support</li><li>
Have a degree in Computer Science, Physics, Engineering, Mathematics, or relevant analytical degree.</li><li>
Be a strong team player</li><li>
KDB / Q experience (Desirable)</li></ul><div></div> 
Deliverables: Responsibilities but not limited to: 
<ul><li>
Design, develop, and implement robust, scalable, and high-performance server-side Java solutions 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 3rd line production support to diagnose and resolve complex technical issues, ensuring the stability and reliability of our trading systems.</li><li>
Work in close collaboration with the Quantitative Strategies Group and trading desk to understand requirements and deliver innovative solutions.</li><li>
Participate in the full software development lifecycle (SDLC), utilizing tools such as Git for version control, Jenkins for continuous integration, and Ansible for deployment automation.</li><li>
Effectively communicate technical concepts and project status to technology management and other stakeholders.</li></ul> 
IR35
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;)</div></div></div></div></div></div><div></div>

Contract - Java Developer (FX Trading)

Gather Technology Ltd

Location: London Hours: 40 per week Salary: &pound;35,000&ndash;&pound;40,000 (depending on experience) Type: Full-time, permanentBenefits:<ul><li>22 days&rsquo; annual leave + bank holidays (increases with service)</li><li>Pension scheme</li><li>Private health insurance (after qualifying period)</li><li>Funded professional training and certifications</li><li>Regular company socials and team events</li><li>Certified Great Place to Work employer</li></ul>Why this role mattersWe exist to deliver exceptional IT services to ambitious businesses who depend on technology to accomplish their mission. We offer IT Support, infrastructure projects, software development, and cyber security.We're looking for an Onsite IT Engineer to join our team, working full-time from one of our client offices in Central London.As a Gather employee, you'll be based onsite providing day-to-day IT support alongside our existing London engineering team. This role is ideal for someone who enjoys a hands-on support environment, building relationships with end users, and working across a variety of technologies in a fast-paced MSP setting.You&rsquo;ll be part of Gather&rsquo;s wider technical team, with clear escalation paths, shared tooling, and ongoing support. You&rsquo;ll also contribute to supporting other Gather clients remotely and occasionally onsite.The role involves resolving day-to-day technical issues, delivering high-quality IT support across desktop, server, and cloud environments, and contributing to improvements that keep systems stable, secure, and well maintained.This role would suit an in-house IT engineer looking to move into a more fast-moving MSP environment, while still enjoying the structure and relationships that come from being physically based at a client.Key responsibilities<ul><li>Act as one of Gather&rsquo;s onsite contacts in London</li><li>Provide first and second line support via phone, email, remote tools, and in person</li><li>Troubleshoot issues across Microsoft 365, Windows desktop/server environments, networking, and cloud services</li><li>Escalate complex issues appropriately while maintaining ownership and clear communication</li><li>Deliver excellent customer service: clear, friendly, and proactive</li><li>Assist with onboarding, device deployment, and user setup</li><li>Support project work such as migrations, upgrades, and documentation</li><li>Identify recurring issues and suggest improvements or automation</li><li>Maintain accurate records in our service management systems</li></ul>Skills &amp; attributes<ul><li>Strong foundation in Microsoft 365, Windows 10/11, and basic networking.</li><li>Curious, methodical problem-solver who looks for root causes</li><li>Confident communicator who can explain technical issues clearly</li><li>Organised, dependable, and comfortable owning tasks end to end</li><li>Friendly, approachable, and professional with users</li><li>Keen to learn, develop, and take on more responsibility over time</li></ul>Experience<ul><li>Minimum 2 years&rsquo; experience in an IT support role (MSP experience desirable)</li><li>Experience supporting end users in a professional environment</li><li>Familiar with ticketing systems, RMM tools, and documentation platforms.</li><li>Exposure to Active Directory, Exchange/365 administration, and basic networking (DNS, DHCP, VPNs, firewalls).</li><li>Relevant certifications are a plus, or willingness to work towards them with our support</li></ul>About Gather Technology<ul><li>Founded in 2017</li><li>17 employees</li><li>~&pound;2m annual revenue</li><li>Head office: Yeovil, Somerset</li><li>Remote offices: London and Aylesbury</li></ul>Our Vision:<ul><li>Our customers will be our best salespeople.</li><li>Our employees will be our best recruiters.</li><li>We will be an award-winning employer and a truly great place to work.</li><li>We will attract and retain smart, motivated, and ambitious people.</li><li>We will grow our monthly recurring revenue by 20% annually.</li></ul>Ready to apply?If you enjoy solving problems, helping people, and want to grow your skills as part of a supportive, ambitious MSP team, we&rsquo;d love to hear from you.Job Types: Full-time, PermanentPay: &pound;35,000.00-&pound;40,000.00 per yearBenefits:<ul><li>Company pension</li><li>Cycle to work scheme</li><li>Private dental insurance</li><li>Private medical insurance</li><li>Sick pay</li></ul>Experience:<ul><li>IT Support: 2 years (required)</li></ul>Language:<ul><li>English (required)</li></ul>Work authorisation:<ul><li>United Kingdom (required)</li></ul>Work Location: In person

Onsite IT Engineer

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions at the heart of our client work. Coming from a data science background, you are equally comfortable applying proven machine-learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval-augmented generation, and agent-based applications). You enjoy building, you write dependable code, and you turn well-defined designs into working software.
This is a delivery-focused role that sits a level below our Lead Data Scientists. You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues. In return, you will gain breadth across modern AI, exposure to real client problems,
You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day-to-day guidance to graduate and junior resources working alongside you.
Required skills &amp; experience:<ul><li>
Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues.</li><li>
Develop GenAI and LLM-based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.</li><li>
Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.</li><li>
Translate solution designs into clean, well-documented, production-minded code.</li><li>
Contribute to model evaluation, testing, and monitoring.</li><li>
Support and guide very junior and graduate resources, reviewing their work and helping them grow.</li><li>
Help peers unblock technical problems and share knowledge across the team.</li><li>
Take part in client and team discussions and communicate your work clearly.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Typically, 2&ndash;4 years' experience in data science, machine learning, or AI engineering.</li><li>
Solid grounding in core data science and machine learning.</li><li>
Practical experience with LLMs and generative AI, including prompting and RAG.</li><li>
Familiarity with how AI agents are built and orchestrated.</li><li>
Strong Python and common data/ML libraries; good engineering habits.</li><li>
Clear communicator and collaborative team player.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Exposure to cloud AI platforms, Azure a plus.</li><li>
Experience practicing MLOps and LLMOps.</li><li>
Early experience mentoring junior colleagues.</li><li>
Interest in consulting and client-facing delivery.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.</div>

AI Engineer (LLMs, Agents & Applied Data Science)

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As AI moves from experimentation to enterprise-wide adoption, doing it responsibly has become a commercial necessity, not just an ethical one. We are looking for a Responsible AI Specialist to ensure the solutions we design and the advice we give to clients are trustworthy, compliant, and fair by design. This is a role for someone who can translate principles (fairness, transparency, accountability) into practical frameworks that engineering teams and clients can actually apply.
You will be a connective figure across the practice: advising delivery teams on ethical and regulatory risk, contributing to client governance conversations, and helping shape the standards by which we build. You do not need to be a deep technical engineer, but you must understand how AI systems work, where they fail, and what good governance looks like in practice, particularly as regulation such as the EU AI Act reshapes expectations.
This is a growing area of strategic importance, offering significant scope to define our approach and to become a recognised voice in responsible AI.
Required skills &amp; experience:<ul><li>
Define and implement Responsible AI frameworks, policies, and practical guidelines across the practice.</li><li>
Advise project teams on ethical AI design, risk identification, and mitigation throughout the delivery lifecycle.</li><li>
Conduct AI risk and impact assessments, and embed fairness, transparency, and accountability into solutions.</li><li>
Contribute to client conversations on AI governance, risk, and regulatory readiness.</li><li>
Monitor evolving regulation (EU AI Act, ICO guidance, emerging standards) and translate it into actionable guidance.</li><li>
Support internal capability building, raising awareness and competence in responsible AI across teams.</li><li>
Partner with architects and data scientists to operationalise governance &mdash; model documentation, evaluation, and guardrails.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 3 years in AI ethics, governance, policy, risk, compliance, or a closely related regulatory field.</li><li>
Sound understanding of AI concepts, risks, and failure modes (deep technical implementation not required).</li><li>
Working knowledge of relevant regulation and standards, including the EU AI Act.</li><li>
Strong stakeholder communication skills, able to engage both technical teams and senior business audiences.</li><li>
Ability to turn principles into pragmatic, usable frameworks and processes.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting or advisory roles.</li><li>
Familiarity with assurance frameworks (ISO/IEC 42001, NIST AI RMF).</li><li>
Background in data protection, privacy, or model risk management.</li><li>
Exposure to fairness, bias, and explainability tooling.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
Responsible AI is central to how we earn client trust and differentiate our practice. You will have the rare chance to shape this capability from an influential position, combining ethics, regulation, and real delivery in work that genuinely matters. As adoption and scrutiny grow, so will your impact and your profile.</div>

Responsible AI Specialist (Governance, Ethics & Compliance)

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models. It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Forward Deployed Engineer III, Generative AI (French, German)

Explore 78+ Client relationship coordinator client onboarding and invoicing in London this July. Find roles across top companies and apply now to boost your career.