ai consultant

Lorien

<div>
 <p>
  AI Solutions Engineer / Applied AI Engineer
 </p>
 <p>
  Location: London (Hybrid) 3 days onsite
 </p>
 <p>
  Perm
 </p>
 <p>
  Cheapside, London EC2V 6EE
 </p>
 <p>
  <br/>
 </p>
 <p>
  Criteria:
 </p>
 <p>
  &bull; AI-Native Engineering Practice
 </p>
 <p>
  &bull; Software Engineering Experience
 </p>
 <p>
  &bull; Databricks and Python Proficiency
 </p>
 <p>
  &bull; Functional Empathy and Stakeholder Engagement
 </p>
 <p>
  &bull; Solution Ownership and Quality
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for engineers who are not only deeply technical in AI but also excellent communicators and stakeholder partners.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Some engineers love technology for technology&rsquo;s sake. This role is different. At HeadFirst x Impellam, we&rsquo;re looking for someone who enjoys figuring things out, understands how organizations work, and gets a kick out of building solutions that genuinely improve the day-to-day reality of teams across the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Applied AI Engineer, you work directly with departments such as Finance, HR, Sales, and Marketing to streamline processes, eliminate friction, and help people work smarter through AI, automation, and lightweight internal applications. You aren&rsquo;t expected to be an expert in every framework, platform, or tool from day one. What matters more is how you think, how quickly you learn, and how effectively you turn ambiguity into practical results.
 </p>
 <p>
  This is a high-profile role that makes a real difference to the business. You&rsquo;ll spend just as much time understanding workflows, challenging assumptions, and shaping solutions as you do building them. The people who thrive here are curious, pragmatic, and comfortable working closely with stakeholders rather than hiding behind tickets or isolated engineering backlogs.
 </p>
 <p>
  Your impact
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Applied AI Engineer, you&rsquo;ll serve as a consultant, a builder, and a problem solver all in one. You&rsquo;ll work closely with business teams to understand how work actually gets done. Sometimes the challenge is operational inefficiency. Sometimes it&rsquo;s fragmented tools, repetitive manual work, or slow decision-making caused by disconnected systems and unclear information flows.
 </p>
 <p>
  Your role is to identify where AI, automation, or lightweight applications can deliver immediate value, and then help bring that value to life quickly and pragmatically. Rather than spending months designing perfect systems, you focus on delivering usable solutions quickly, gathering feedback early, and improving continuously. This could involve building an internal workflow tool, creating an AI-powered assistant for operational teams, or streamlining reporting and approvals through automation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You work within a modern Databricks and AI-enabled ecosystem, but technology is never the end goal. The real objective is to help teams operate more effectively, make better decisions, and eliminate operational bottlenecks. AI plays a central role in how you work. AI coding assistants and agent-based workflows help accelerate development and experimentation, allowing you to move quickly while still maintaining control over quality, usability, and adoption.
 </p>
 <p>
  At the same time, you work closely with the Platform, Data, and Engineering teams to ensure that the solutions you deliver fit within a scalable and secure organizational environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What you will do
 </p>
 <p>
  &bull; Work closely with business stakeholders to understand operational challenges, workflows, and inefficiencies;
 </p>
 <p>
  &bull; Translate ideas and business needs into practical tools, automations, and AI-powered solutions;
 </p>
 <p>
  &bull; Build lightweight internal applications that boost productivity and simplify daily work;
 </p>
 <p>
  &bull; Use AI coding assistants and AI-native workflows to speed up delivery and experimentation;
 </p>
 <p>
  &bull; Continuously refine solutions based on real user feedback and adoption;
 </p>
 <p>
  &bull; Support teams in improving processes rather than simply digitizing existing inefficiencies;
 </p>
 <p>
  &bull; Collaborate with Finance, HR, Commercial, and leadership teams on business-critical initiatives;
 </p>
 <p>
  &bull; Balance speed and quality by making pragmatic engineering decisions that maintain momentum;
 </p>
 <p>
  &bull; Introduce smarter workflows through automation, AI agents, and integrated internal tools;
 </p>
 <p>
  &bull; Help shape how AI is adopted responsibly and practically throughout the organization;
 </p>
 <p>
  &bull; Share ideas, best practices, and suggestions for improvement that help teams move faster and work more effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Who you are
 </p>
 <p>
  You&rsquo;re someone who enjoys solving problems in complex, real-world environments. You likely combine technical curiosity with strong communication skills and a genuine interest in how businesses operate. You don&rsquo;t need perfect requirements or fully defined roadmaps to get started. Instead, you ask questions, explore possibilities, and move toward solutions quickly. You&rsquo;re energized by learning new things and comfortable adapting as technology evolves. AI doesn&rsquo;t intimidate you. You see it as a practical tool that helps you think faster, build faster, and create more impact.
 </p>
 <p>
  You enjoy collaborating and are comfortable working closely with non-technical stakeholders. You know how to explain ideas clearly, challenge assumptions constructively, and maintain momentum without overcomplicating things. Most importantly, you care about results. You enjoy delivering useful solutions, seeing people adopt them, and improving them over time based on what works in practice.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Why this role stands out
 </p>
 <p>
  This is not a traditional engineering role focused solely on technical implementation. You will work closely with decision-makers, influence how teams operate, and help shape the practical implementation of AI across an international organization. The role combines engineering, consulting, problem-solving, and business collaboration in a way that offers broad exposure and a tangible impact.
 </p>
 <p>
  If you enjoy fast-paced environments, practical innovation, and building solutions that people actually use, this role offers the opportunity to have a direct impact on how modern AI capabilities create value within a global business.
 </p>
</div>


AI Solutions Engineer / Applied AI Engineer

Talan

<div><b>Company Description</b><p><br>
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).</p><b><br>
Job Description</b><p><br>
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.</p><p>
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.</p><p>
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.</p><p><b>
Required skills &amp; experience:</b></p><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><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><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><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><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><p><b>
You must be:</b></p><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><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><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><p><b>
Why join:</b></p><p>
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.</p></div>

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

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Capgemini Invent: Why Join us?</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>Our Analytics &amp; AI (A&amp;AI) Capability Unit is the home of our experts in data &amp; AI strategy, innovation, transformation and enablement; supporting clients in using advanced data, analytics and AI solutions to solve complex business problems.
</p><p>This is a high profile role in Capgemini Invent, contributing to leadership across both across the Analytics &amp; AI capability unit and across our client engagements. As a Director in our team, you will be responsible for new business focused on clients in all sectors and selling consulting opportunities in excess of &pound;2m per year. You will be expected to contribute to thought leadership and team management activities across multiple capability areas but with a focus on AI Governance and Trust including regulation, ethics, risk management, controls and compliance.</p>
</div></div><div></div><div><div><p>In this role, you&rsquo;ll help set the direction, driving forward the business, model our values and behaviours, and coach and develop junior members of the team. Key expectations from this role include:</p>
<p>Working as part of the Capgemini Invent A&amp;AI leadership team to grow our AI Governance &amp; Trust capability and develop our AI regulation, ethics and compliance offers
</p><p>Managing the performance and grow teams of data &amp; AI consultants with AI Governance expertise who work cross-sector, supporting individuals&rsquo; career growth, guiding L&amp;D priorities and driving recruitment</p>
<p>Building long-lasting senior client relationships and creating a sustainable business development pipeline</p>
<p>Inspiring our clients on innovating with AI safely with the right governance and controls in place</p>
<p>Helping our clients to design their AI strategies and adopt robust AI governance frameworks</p>
<p>Selling, leading, and managing large delivery programmes with data and AI at the centre</p>
<p>Creating thought leadership and new propositions that reflect Capgemini Invent&rsquo;s position as a leading AI, data science and analytics consultancy</p>
</div></div><div></div><div><div><p>As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<p>Business Development &ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</p>
<p>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</p>
<p>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE
</b></h2></div><div><p>You will already be a leader within AI Governance &amp; Trust consulting and you want to take your career to the next level. You will have experience at a similar level leading data and AI teams within a large consultancy, and you will have relationships at senior levels in multiple client organisations.</p>
<p>Specifically, you will bring:</p>
<ul><li>Good existing relationships with Senior Clients, focussed on the areas responsible for AI Governance &amp; Trust
</li><li>Experience of defining data strategies and shaping the AI or data science services and solutions that deliver the client&rsquo;s vision, integrated across technology and business functions</li>
<li>A deep understanding of trends in AI and how these are impacting our clients in terms of Governance &amp; Trust
</li></ul></div></div><div></div><div><div><p>You will also require:</p>
<ul><li>Strong management consulting experience with proven success in AI, Data Science or Analytics and Governance, Regulation and Compliance</li>
<li>A proven track record in new business development / account management in clients across the full sales lifecycle; you will have a personal sales target of circa &pound;2m per annum of consulting business.</li>
<li>Proven ability to be successful in a matrixed organisation and to enlist support and commitment from peers in selling and delivering consulting solutions.</li>
<li>Credibility and personal impact; you will be respected by colleagues and clients</li>
<li>Versatility and collaborative in style, empathetic in nature, confident in content and focussed on outcomes at all levels in the client organisation.</li>
<li>A passion to shape, motivate and deliver AI, Data Science and Analytics work</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW
</b></h2></div><div><p>At Capgemini we don&rsquo;t just believe in Diversity &amp; Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.</p>
<p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
<p><b>CSR:</b></p>
<p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
<p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI
</b></h2></div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.</p>
<p><b><i>Capgemini is proud to be a </i></b><b><i>Disability Confident Employer (Level 2) </i></b><i>under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</i></p>
<ul><li><i>Declare they have a disability, and</i></li>
<li><i>Meet the minimum essential criteria for the role.</i></li>
</ul><p><i>Please opt in during the application process.</i></p></div></div></div></div></div></div></div>

Director AI Governance

Boston Consulting Group (BCG)

<div>
 Who We Are
 <br/>
 <br/>
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 <br/>
 <br/>
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 Are you passionate about harnessing the power of Generative AI to solve real-world
 <br/>
 <br/>
 problems? As a world-renowned and leading AI Consulting firm, we are actively
 <br/>
 <br/>
 seeking hands-on GenAI experts to join our PSG BI&amp;A Team.
 <br/>
 <br/>
 As a GenAI IT Senior Data Scientist you will work closely with our Partner Services
 <br/>
 <br/>
 Group to understand their key challenges, define GenAI products, win buy-in for your
 <br/>
 <br/>
 recommendations and collaborate with other IT teams to transform stakeholder
 <br/>
 <br/>
 potentials into performance.
 <br/>
 <br/>
 Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&amp;A Data
 <br/>
 <br/>
 Science expertise and will be responsible for overseeing end-to-end Data Science and
 <br/>
 <br/>
 GenAI solutions, collaborating closely with the BI&amp;A Squad to deliver on stakeholder
 <br/>
 <br/>
 objectives.
 <br/>
 <br/>
 What You'll Bring
 <br/>
 <br/>
 We&rsquo;re looking for exceptional talent with experience in core Data Science and AI
 <br/>
 <br/>
 <strong>
  To Join Us. You Will Typically Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   +4 years experience in IT strategy and consulting, professional software
   <br/>
   <br/>
  </li>
 </ul>
 development or Data Science product organisation.
 <br/>
 <br/>
 <ul>
  <li>
   A bachelor's or master&rsquo;s degree in computer science, Engineering, or a related
   <br/>
   <br/>
  </li>
 </ul>
 field. Preferably with a focus on artificial intelligence, machine learning, or
 <br/>
 <br/>
 data science.
 <br/>
 <br/>
 <ul>
  <li>
   Strong Data Science experience with proficiency in Python, Snowflake, DBT
   <br/>
   <br/>
  </li>
 </ul>
 and Tableau with experience working in a Data Engineering team and a
 <br/>
 <br/>
 proven ability to communicate effectively and provide clear, actionable
 <br/>
 <br/>
 insights to senior stakeholders
 <br/>
 <br/>
 <ul>
  <li>
   Strong technical expertise in Generative AI, Data Science and Machine
   <br/>
   <br/>
  </li>
 </ul>
 Learning.
 <br/>
 <br/>
 <ul>
  <li>
   A strategic thinker, entrepreneurial, able to work creatively and analytically in
   <br/>
   <br/>
  </li>
 </ul>
 a problem-solving environment
 <br/>
 <br/>
 <ul>
  <li>
   Outstanding analytical and conceptual skills, strong customer focus and
   <br/>
   <br/>
  </li>
 </ul>
 mental agility with a results orientation
 <br/>
 <br/>
 <ul>
  <li>
   Sound understanding of GenAI solution constructs e.g., LLMs, RAG,
   <br/>
   <br/>
  </li>
 </ul>
 Guardrails, MLOps and multi-modality
 <br/>
 <br/>
 <ul>
  <li>
   Experience managing and executing data science and AI projects, from
   <br/>
   <br/>
  </li>
 </ul>
 ideation to deployment, while ensuring alignment with business objectives
 <br/>
 <br/>
 and delivering impactful outcomes
 <br/>
 <br/>
 <ul>
  <li>
   Understanding of various GenAI platform &amp; middleware and how they fit in
   <br/>
   <br/>
  </li>
 </ul>
 GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or
 <br/>
 <br/>
 LlamaIndex
 <br/>
 <br/>
 <ul>
  <li>
   Able to understand &amp; apply advanced prompt engineering methods and
   <br/>
   <br/>
  </li>
 </ul>
 related concepts (RAG, context windows, memory) RAG is a must!
 <br/>
 <br/>
 <ul>
  <li>
   Experience in the organisation of workshops at peer level and facilitating
   <br/>
   <br/>
  </li>
 </ul>
 meetings
 <br/>
 <br/>
 <ul>
  <li>
   Ability to work autonomously while contributing effectively as part of a team
  </li>
  <li>
   Strong business acumen; can frame complex problems in appropriate
   <br/>
   <br/>
  </li>
 </ul>
 business contexts
 <br/>
 <br/>
 <ul>
  <li>
   Highly professional and rigorous, results-oriented, driven and hard-working
  </li>
  <li>
   Have excellent verbal and written communication skills in English
  </li>
  <li>
   Loyal and reliable, possessing the highest ethical standard
  </li>
  <li>
   Good interpersonal skills but also judgement independency and autonomy
  </li>
  <li>
   Ability to propose innovative ideas, build empathy within the firm and win the
   <br/>
   <br/>
  </li>
 </ul>
 trust of key stakeholders
 <br/>
 <br/>
 Who You'll Work With
 <br/>
 <br/>
 You will be part of the PSG BI&amp;A Squad and our IT Functional Technology team,
 <br/>
 <br/>
 partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI,
 <br/>
 <br/>
 and Security/Architecture teams. Together, you&rsquo;ll deliver scalable, secure, and
 <br/>
 <br/>
 innovative GenAI solutions that will transform how PSG teams engage with
 <br/>
 <br/>
 technology.
 <br/>
 <br/>
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 <br/>
 <br/>
 BCG is an E - Verify Employer. Click here  for more information on E-Verify.
</div>


Global IT Data Scientist Senior Specialist

SQLI

<div>
 <p>
  We Elevate. Digitally.
  <br/>
  <br/>
 </p>
 <p>
  SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.
  <br/>
  <br/>
 </p>
 <p>
  With 2,200 people across 12 countries, we&rsquo;re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  <u>
   <strong>
    About the role
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.
  <br/>
  <br/>
 </p>
 <p>
  This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.
  <br/>
  <br/>
 </p>
 <p>
  You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else&rsquo;s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.
  <br/>
  <br/>
  <br/>
  <br/>
  <u>
   <strong>
    What you will do
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <ul>
  <li>
   <p>
    Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Support Data &amp; AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover
    <br/>
    <br/>
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <p>
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   <p>
    Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience building RAG applications
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience setting up CI/CD pipelines and automation
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Able to take a prototype through to a production-grade build, not just one or the other
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Strong collaboration and communication skills, ideally from an agency or consulting setting
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <p>
  <u>
   <strong>
    Nice to have
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <ul>
  <li>
   <p>
    Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Hands-on with Anthropic&rsquo;s managed agent infrastructure (Claude managed agents, the agents API)
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Prior work on evaluation methods for LLM outputs
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience in e-commerce, or from an AI, agentic, or workflow automation background
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Comfortable presenting technical work and learnings to a non-engineering audience
    <br/>
    <br/>
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  <u>
   <strong>
    How we will work together
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  You will report into the Data &amp; AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.
  <br/>
  <br/>
 </p>
 <p>
  <u>
   <strong>
    How to apply
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  Send a short note covering:
  <br/>
  <br/>
 </p>
 <ol>
  <li>
   <p>
    One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <ol>
  <li>
   <p>
    How you would take an agent that touches real client systems from a quick prototype to something safe to run in production
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <ol>
  <li>
   <p>
    Your notice period and earliest start date
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <p>
  <strong>
   Why you&rsquo;ll love working at SQLI?
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   A flexible remote working policy: 3 days per week
  </li>
  <li>
   Continuous learning opportunities and certifications to support your development
  </li>
  <li>
   Personalised support: career follow-up, diverse projects, and strong team collaboration
  </li>
  <li>
   Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups
  </li>
 </ul>
</div>


AI Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
<li>3 years of experience building machine learning solutions and working with technical customers.</li>
<li>Experience designing cloud enterprise solutions and supporting customer projects to completion.</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience working with recommendation engines, data pipelines, or distributed machine learning.</li>
<li>Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).</li>
<li>Understanding of the auxiliary practical concerns in production machine learning systems.</li>
<li>Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.</p><br>
<p>
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products.<br>
<br>
In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.</p><p><br>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.</li>
<li>Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.</li>
<li>Create and deliver best practice recommendations, tutorials, blog articles, and sample code.</li>
<li>Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.</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>

AI Infrastructure Engineer

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Requisition ID #</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD99665<p></p><div><div><p><b>
Position Overview</b></p><p><b>
Senior QA Automation Engineer &ndash; AI Applications</b><b> UK</b></p></div><p></p><div><p><br>
We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.</p></div><p></p><div><p><b><br>
Responsibilities</b></p></div><div><ul><li><p>
Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features</p></li></ul></div><div><ul><li><p>
Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage</p></li></ul></div><div><ul><li><p>
Create and maintain test harnesses for AI services, applications, and APIs</p></li></ul></div><div><ul><li><p>
Perform API testing for AI services and backend systems</p></li></ul></div><div><ul><li><p>
Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features</p></li></ul></div><div><ul><li><p>
Test AI/ML applications and machine learning models from a product and user perspective</p></li></ul></div><div><ul><li><p>
Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior</p></li></ul></div><div><ul><li><p>
Define structured rubrics that translate qualitative findings into measurable evaluation gates</p></li></ul></div><div><ul><li><p>
Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing</p></li></ul></div><div><ul><li><p>
Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications</p></li></ul></div><div><ul><li><p>
Contribute to multi-team projects and codebases, ensuring code quality and consistency</p></li></ul></div><div><ul><li><p>
Participate in code reviews and provide constructive feedback to peers</p></li></ul></div><div><ul><li><p>
Document and present findings and ideas across the company</p></li></ul></div><p></p><div><p><b><br>
Minimum Qualifications</b></p></div></div><div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience</p></li></ul></div><div><ul><li><p>
5+ years of professional experience in software quality assurance, test automation, or software engineering</p></li></ul></div><div><ul><li><p>
Strong programming skills in Python, with experience in test automation</p></li></ul></div><div><ul><li><p>
Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality</p></li></ul></div><div><ul><li><p>
Experience with CI/CD tools and processes</p></li></ul></div><div><ul><li><p>
Familiarity with popular CAD environments and tooling</p></li></ul></div><div><ul><li><p>
Proficient in automation and UAT test suites/frameworks</p></li><li><p>
Experience designing QA frameworks or platforms used by multiple teams</p></li></ul></div><div><ul><li><p>
Excellent problem-solving skills and attention to detail</p></li></ul></div><div><ul><li><p>
Strong communication and collaboration skills</p></li></ul></div><div><ul><li><p>
Understanding of software architecture and design patterns</p></li></ul></div><div><ul><li><p>
Ability to work in an Agile development environment</p></li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience testing AI/ML applications or validating machine learning models</p></li></ul></div><div><ul><li><p>
Experience with data validation tooling (e.g., Great Expectations) or labeling workflows</p></li></ul></div><div><ul><li><p>
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)</p></li></ul></div><div><ul><li><p>
Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)</p></li></ul></div><div><ul><li><p>
Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)</p></li></ul></div><div><ul><li><p>
Knowledge of ML evaluation methods, metrics, and benchmarking</p></li></ul></div><div><ul><li><p>
Passion for learning new technologies and improving existing systems</p></li></ul></div></div><div><div><ul><li><p>
Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)</p></li></ul></div><div><ul><li><p>
Experience testing AI/ML services in production environments</p></li></ul></div><div><ul><li><p>
Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights &amp; Biases)</p></li></ul></div><p></p><div><p><b>
The Ideal Candidate</b></p></div><div><ul><li><p>
You demonstrate initiative to provide solutions and to learn and develop new technologies</p></li></ul></div><div><ul><li><p>
Comfortable building QA systems from scratch and writing maintainable automation</p></li></ul></div><div><ul><li><p>
You enjoy learning and collaborating across global locations</p></li></ul></div><div><ul><li><p>
You are comfortable working in newly forming ambiguous areas</p></li></ul></div><div><ul><li><p>
You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others</p></li></ul></div><div><ul><li><p>
You effectively leverage AI-powered tools to improve testing workflows and engineering productivity</p></li></ul></div><div><ul><li><p>
You can communicate well with others</p></li></ul></div><p></p><div><p><br>
 #LI-JK3</p></div></div><p></p><p><b><br>
Learn More</b></p><p></p><p><b>
About Autodesk</b></p><p>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</p><p></p><p>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</p><p></p><p>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</p><p></p><p><b>
Salary transparency</b></p>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<p><b><br>
Belonging</b><br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging</p><p></p><p><b>
Are you an existing contractor or consultant with Autodesk?
</b></p><p>Please search for open jobs and apply internally (not on this external site).</p></div>

Senior QA Automation Engineer – AI Applications UK

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