analysis engineer

Lendable

<div><h2 class="jobSectionHeader"><b>About Lendable</b></h2><p>
Lendable is on a mission to build the world's best technology to help people get credit and save money.<b> </b>We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:</p><p></p><ul><li><p>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</p></li><li><p>
Among the<b> fastest-growing tech</b> companies in the UK</p></li><li><p>
Profitable since <b>2017</b></p></li><li><p>
Backed by top investors including <b>Balderton Capital </b>and<b> Goldman Sachs</b></p></li><li><p><b>
Loved by customers</b> with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</p></li></ul><p></p><p>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch:<b> loans, credit cards and car finance</b>. We get money into our customers&rsquo; hands in minutes instead of days.</p><p></p><p>
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks <b>with dated systems and painful processes.</b></p><p></p><h2 class="jobSectionHeader"><b>
Join us if you want to</b></h2><ul><li><p><b>
Take ownership </b>across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</p></li><li><p><b>
Work in small teams of exceptional people,</b> who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</p></li><li><p><b>
Build the best technology in-house</b>, using new data sources, machine learning and AI to make machines do the heavy lifting</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.</p><p>
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.</p><p>
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.</p><p>
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.</p><p></p><h2 class="jobSectionHeader"><b>
What you'll be doing</b></h2><ul><li><p>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</p></li><li><p>
Championing standards and contributing to the improvement of our analytics engineering culture.</p></li><li><p>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</p></li><li><p>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our modern data stack</b></h2><p>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.</p><p></p><h2 class="jobSectionHeader"><b>
What we're looking for</b></h2><p>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.</p><p>
More specifically, we&rsquo;re looking for:</p><ul><li><p>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</p></li><li><p>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</p></li><li><p>
Experience with Snowflake or another modern cloud data warehouse.</p></li><li><p>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</p></li><li><p>
A collaborative working style and clear communication across technical and non-technical stakeholders.</p></li><li><p>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Interview process</b></h2><ul><li><p>
Initial call with an engineer</p></li><li><p>
15 minute Cognitive Assessment</p></li><li><p>
Onsite or Video Interview lasting 90 minutes, comprising of:</p><ul><li><p>
Introduction of the team and kind of work you could be doing daily</p></li><li><p>
Interactive architecture/design exercise</p></li><li><p>
Questions you may have about the company, role, etc.</p></li></ul></li><li><p>
A 60 minute chat with this role's primary stakeholders</p><ul><li><p>
Cultural/behavioural questions</p></li><li><p>
Product mindset and ability to collaborate and communicate</p></li></ul></li></ul><p></p><h2 class="jobSectionHeader"><b>
Life at Lendable</b></h2><ul><li><p><b>
Winning team: </b>the opportunity to scale up one of the world&rsquo;s most successful fintech companies</p></li><li><p><b>
Flexible working: </b>flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</p></li><li><p><b>
Socials &amp; connection: </b>opportunities and events to come together, socialise, and get to know each other beyond the office walls</p></li><li><p><b>
Health coverage:</b> support for your physical and mental wellbeing, including private health cover</p></li><li><p><b>
Retirement &amp; savings:</b> long-term financial wellbeing through retirement savings plans</p></li><li><p><b>
Employee referral programme:</b> earn a competitive bonus when you refer successful new team members</p></li><li><p><b>
Office meals &amp; snacks:</b> enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</p></li><li><p><b>
Sustainable commuting:</b> cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</p></li></ul><p><b><i>
Please note:</i></b><i> The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.</i></p><p>
Check out our blog!</p></div>

Analytics Engineer

The Law Society

<div></div><div><div><div><div><div><p>Join the Law Society's Data and AI team at an exciting stage of our data transformation journey. Having recently implemented our first enterprise Data Platform, we're looking for an Analytics Engineer to help shape the next phase of our data and analytics capability.</p>
<p>
In this role, you will design, build and maintain trusted data models and analytics products that enable reporting, generate valuable insights and support informed decision-making across the organisation.</p>
<p>
Working closely with data engineers, analysts and business stakeholders, you'll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. You'll also play a key role in improving data quality, enhancing data accessibility and ensuring colleagues can confidently find, trust and use data to drive business outcomes.</p>
<p>
This is an excellent opportunity to join a knowledgeable and growing Data and AI team where you'll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.</p>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What we're looking for</b></h2></div>
</div></div><div><div><div><div><p>We're looking for someone with a passion for data and analytics who can bridge technical expertise with business needs. You will have:</p>
<ul>
<li>Strong SQL skills and experience designing reliable, scalable and maintainable data models, optimised for BI tools such as Power BI.</li>
<li>Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms.</li>
<li>Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory.</li>
<li>An understanding of data governance, data lineage and data quality principles.</li>
<li>The ability to work collaboratively with stakeholders to translate business requirements into practical data solutions.</li>
<li>A proactive, collaborative approach with a commitment to continuous improvement.</li>
</ul>
<p><b>Desirable skills include:</b></p>
<ul>
<li>Experience using Git and Python.</li>
<li>Experience working within Agile delivery environments.</li>
<li>Relevant cloud or data certifications.</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What's in it for you</b></h2></div>
</div></div><div><div><div><div><p>This is an exciting opportunity to join a respected membership organisation with a strong reputation for excellence and legal expertise. You'll work alongside talented colleagues who are passionate about using data to deliver meaningful impact across the organisation.</p>
<p>
At the Law Society, we're committed to fostering an inclusive workplace where equality, diversity and inclusion are valued, and where our culture is built on trust, clarity, excellence and respect.</p>
<p>
We offer:</p>
<ul>
<li>Hybrid working.</li>
<li>A generous and flexible benefits package.</li>
<li>A supportive and collaborative working environment.</li>
<li>Excellent opportunities for learning, development and career progression.</li></ul><br>
<p>
<br>
<i>Please note: i</i><i>f you are an internal applicant, Pay Policy will apply.</i><br>
</p><p><b>The Law Society represents solicitors in England and Wales. From negotiating with and lobbying the profession's regulators, government and other decision makers, to offering training and advice, we're here to help, protect and promote solicitors.</b></p></div></div></div></div></div>

JaJa Finance Ltd

<div><p><b>About Jaja</b></p>
<p><b>
Our Mission: </b>Empowering our customers to buy, borrow, and build&mdash;driven by tech, fuelled by data, and built for the future.</p>
<p><b>
Our Company Values</b>: Care Deeply, Adapt &amp; Thrive, Challenge everything, Go for it! Own it, Make it Simple</p><p></p><p><br>
Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making.</p><br>
<p>
We are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as we say it, Make Simple.</p><br>
<p>
We will delight our customers &ndash; making the customer experience simpler, more enjoyable, more intelligent &ndash; treating customers fairly and giving them more control of their money.</p><p></p><p><b><br>
Why Join Us?</b></p>
<p>
This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.</p>
<p>
We have a collaborative team structure fueled by an exciting mix of people, welcoming experienced people from the industry with both feet on the ground and tech-savvy dreamers who pave way for the new stuff. Come as you are and be yourself!</p><p></p><p><b><br>
About The Role</b></p>
<p>
This role requires a hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team&rsquo;s delivery.</p><br>
<p></p>
<p><b>
Key responsibilities</b></p>
<ul>
<li>Supporting the delivery of new data models in a modern technology stack</li>
<li>Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions</li>
<li>Developing existing data models in line with product and engineering</li>
<li>Upholding the data governance standards</li>
<li>Supporting the BI and Analytics teams with key data sources required for their deliveries</li></ul><br>
<p></p>
<p><b>
About You</b></p><br>
<p><b>
Essential</b></p>
<ul>
<li>SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake</li>
<li>Using transformation tools, we use Coalesce.io but DBT would also set you up for success</li>
<li>Modelling structured and unstructured data</li>
<li>Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up</li>
<li>Strong problem solving and attention to detail</li>
<li>Excellent communication and collaboration skills</li></ul><br>
<p></p>
<p><b>
Desired</b></p>
<ul>
<li>Experience with data quality frameworks</li>
<li>Familiarity with finance, credit and associated reporting</li>
<li>Experience of working with Product and Engineering teams</li>
<li>Knowledge of testing standards and version control</li>
<li>Experience with orchestration</li></ul><p><br>
<br>
</p><p></p><br>
<p><b>What's in it for you?</b></p>
<ul>
<li>The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever</li>
<li>Competitive salary</li>
<li>Pension contributions, including Salary Exchange facility</li>
<li>Annual bonus potential</li>
<li>Private medical cover provided by Vitality (optional benefit)</li>
<li>25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days).</li>
<li>Your birthday off each year as an additional day's holiday</li>
<li>4x life insurance cover</li>
<li>Access to our confidential Employee assistance programme</li></ul></div>

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>Tax &amp; Legal
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>29-Jun-2026
</div></div><div><div>Req #
</div><div>23837
</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> AI Data Engineer (Azure)</p><p><b>
Location: </b>London Hybrid. Travel to the London office 2 days a week</p><p><b>
Duration: </b>6 months</p><p><b>
Contract Start Date:</b> ASAP</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 a highly skilled <b>AI Data Engineer </b>(Contractor) specialising in <b>Azure </b>to join our Digital Innovation team, supporting cutting-edge data and analytics use cases across Tax &amp; Legal. This role is ideal for someone who combines <b>strong </b><b>AI/GenAI data pipeline</b><b> </b>expertise with <b>hands-on Azure, data discovery and analysis. </b>You will be comfortable working with unstructured data and modern Azure-native architectures. You will play a key role in transforming complex datasets into meaningful insights, working closely with Tax domain specialists to understand requirements, shape solutions, and clearly present outputs that drive business value. We're looking for a strong communicator with problem solving skills who can bridge technical data engineering and business understanding. A proactive, delivery-focused engineers who is comfortable working at pace.</p><p></p><p><b><br>
Deliverables: Responsibilities but not limited to:</b></p><b>
1. Data Engineering &amp; Azure Platform Delivery</b><br>
<ul><li><ul><li>
Design and build end-to-end data pipelines using Azure (ADF, Synapse, Fabric)</li><li>
Develop scalable frameworks for ingesting structured, semi-structured, and unstructured data</li><li>
Implement modern architectures (e.g. Lakehouse, medallion &ndash; bronze/silver/gold)</li><li>
Build and optimise storage solutions across ADLS Gen2, Cosmos DB, and Azure SQL/Synapse</li><li>
Deliver scalable, maintainable, production-ready solutions</li></ul></li></ul><b>
2. Unstructured Data &amp; NoSQL Engineering</b><ul><li><ul><li>
Design pipelines to process, transform, and enrich unstructured data.</li><li>
Leverage Cosmos DB for high-throughput, low-latency, schema-flexible workloads</li><li>
Optimise partitioning, indexing, and query performance</li><li>
Enable downstream analytics and AI use cases (e.g. reporting, search, RAG)</li></ul></li></ul><b>
3. Data Discovery, Analysis &amp; Business Engagement</b><ul><li><ul><li>
Conduct data discovery, profiling, and exploratory analysis</li><li>
Collaborate with Tax &amp; Legal stakeholders to translate business needs into data solutions</li><li>
Identify trends, anomalies, and data quality issues</li><li>
Present insights clearly to non-technical and senior stakeholders</li><li>
Support development of curated datasets and semantic layers</li></ul></li></ul>
4. <b>Collaboration &amp; Delivery</b><ul><li><ul><li>
Work with data scientists, AI engineers, architects, and domain specialists</li><li>
Enable data consumption via reporting tools, APIs, and data services</li><li>
Contribute to best practices in governance, lineage, and data cataloguing</li><li>
Deliver high-quality solutions in agile environments</li></ul></li></ul><p></p><p><b><br>
Essential Skills and Experience</b></p><ul><li><ul><li>
Proven experience as an <b>Azure Data Engineer </b>in end-to-end data platforms</li><li>
Exposure to <b>AI/GenAI data pipelines </b>(e.g. RAG, embeddings, search)</li><li>
Knowledge of <b>Azure AI Search</b> or vector-based retrieval systems</li><li>
Strong <b>hands-on</b> experience with:</li><li><ul><li><ul><li>
Azure Data Factory / Synapse / Microsoft Fabric</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Cosmos DB (Core/SQL API, NoSQL modelling)</li></ul></li></ul></li><li>
Experience working extensively with unstructured and semi-structured data</li><li>
Proficiency in <b>Python</b> and <b>SQL</b></li><li>
Demonstrated experience in:</li><li><ul><li><ul><li>
Data discovery, profiling, and exploratory analysis</li><li>
Data transformation and data quality frameworks</li></ul></li></ul></li><li>
Strong understanding of:</li><li><ul><li><ul><li>
NoSQL vs relational data modelling</li><li>
Data partitioning and performance tuning</li></ul></li></ul></li><li>
Experience building scalable, production-grade data pipelines</li><li>
Familiarity with CI/CD and DevOps practices in Azure</li></ul></li></ul><p></p><p><b><br>
Desirable:</b></p><ul><li><ul><li>
Azure Data Engineering Associate certification (DP-203) or equivalent</li><li>
Experience with Microsoft Fabric and Lakehouse architectures</li><li>
Experience integrating Cosmos DB with analytical platforms</li><li>
Familiarity with data governance frameworks</li></ul></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 - AI Data Engineer (Azure)

Athsai

<div>
 <p>
  **Employment Type:** Permanent
 </p>
 <p>
  **Salary:** Up to &pound;75k
 </p>
 <p>
  **Location:**
  <strong>
   <em>
    in the Central London
   </em>
  </strong>
 </p>
 <p>
  <strong>
   **Work Arrangement:** In-office only, five days a week.
  </strong>
 </p>
 <p>
  ---
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Job Title:** Data Engineer
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Experience Required:** 8 Years
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Role Overview:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Key Responsibilities:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Design and implement robust real-time data pipelines from diverse sources.
 </p>
 <p>
  - Maintain a high-performance data warehouse for reporting and analytics.
 </p>
 <p>
  - Develop insightful Power BI dashboards and reports for stakeholders.
 </p>
 <p>
  - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration.
 </p>
 <p>
  - Employ Python and SQL for data transformation and analysis.
 </p>
 <p>
  - Leverage OpenAI APIs for AI/ML solutions.
 </p>
 <p>
  - Collaborate with teams to align data strategy with business goals.
 </p>
 <p>
  - Ensure data quality, consistency, and compliance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Required Qualifications:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - 7-8 years in Data Engineering, Data Architecture, or related roles.
 </p>
 <p>
  - Experience with ETL/ELT pipelines and complex data ecosystems.
 </p>
 <p>
  - Proficiency in Python and strong SQL skills.
 </p>
 <p>
  - Familiarity wit
  <strong>
   h Azure services (Data Factory, Logic Apps, etc.).
  </strong>
 </p>
 <p>
  - Expertise in Power BI for data modeling and visualization.
 </p>
 <p>
  - Experience with OpenAI APIs or similar services.
 </p>
 <p>
  - Understanding of data warehousing and data governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Preferred Qualifications:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Knowledge of DevOps practices and CI/CD pipelines.
 </p>
 <p>
  - Familiarity with cloud-native data platforms (e.g., Databricks).
 </p>
 <p>
  - Understanding of data privacy regulations (e.g., GDPR).
 </p>
</div>


Data Engineer - Azure/ADF

Hyper Recruitment Solutions

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning to complex biological problems. Based at their modern facility, you will play a key role in driving forward cutting-edge research in a dynamic, open-source environment.
 <br/>
 <br/>
 In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will work independently within a small, autonomous team, influencing research directions and interpreting self-generated data to uncover new insights in this emerging scientific frontier.
 <br/>
 <br/>
 <strong>
  Key Duties And Responsibilities
  <br/>
  <br/>
 </strong>
 Your duties as the Machine Learning Engineer will be varied, however the key duties and responsibilities are as follows:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
  </li>
  <li>
   Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
  </li>
  <li>
   Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
  </li>
  <li>
   Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
  </li>
  <li>
   As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Role Requirements
  <br/>
  <br/>
 </strong>
 To be successful in your application to this exciting role as the Machine Learning Engineer we are looking to identify the following on your profile and past history:
 <br/>
 <br/>
 <ul>
  <li>
   A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.
  </li>
  <li>
   Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.
  </li>
  <li>
   Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.
  </li>
  <li>
   Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WHAT&rsquo;S IN IT FOR YOU?
  <br/>
  <br/>
 </strong>
 This is a rare opportunity to contribute to groundbreaking research in drug discovery at a forward-thinking, non-profit organisation. You will benefit from a collaborative, open-source environment with significant influence over scientific direction, paired with a competitive salary package and the potential for sponsorship if required. Working four days on-site offers excellent work-life balance, within a state-of-the-art facility supported by recent government funding.
 <br/>
 <br/>
 Key Words:
 <em>
  Machine Learning
 </em>
 /
 <em>
  Bioinformatics
 </em>
 /
 <em>
  Disordered Proteins
 </em>
 /
 <em>
  NMR
 </em>
 /
 <em>
  Applied Research
 </em>
 /
 <em>
  Autonomy
 </em>
 /
 <em>
  Biological Data Analysis
 </em>
 /
 <em>
  Open Source
 </em>
 /
 <em>
  Innovation
 </em>
 /
 <em>
  Drug Discovery
  <br/>
  <br/>
 </em>
 "Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career".
</div>


Machine Learning Engineer

HCLTech

<p>We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products.</p><p>HCLTech is a globally recognized leader in the Tech and IT industry, but we&rsquo;ve never forgotten the startup mindset that got us here. We&rsquo;ve always approached our work with an idea-first attitude because every one of our accomplishments &mdash;no matter how big or small &mdash;can be traced back to an idea&rsquo;s single spark.</p><p>It&rsquo;s that spark &mdash;that inner drive &mdash;that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that&rsquo;s what drives you to be better, be more and ultimately, be more fulfilled.</p><p><b>ROLE SUMMARY</b></p><p>The Senior Endpoint Engineer is responsible for engineering, enhancing, and supporting the organization&rsquo;s Azure Virtual Desktop (AVD) and Microsoft Intune environments for both physical devices and virtual workspaces. The role requires strong technical expertise, disciplined operational processes, and deep knowledge of endpoint technologies to ensure stable, secure, and efficient end‑user computing services across the enterprise. This position directly impacts nearly all users and plays a critical role in maintaining a reliable and secure endpoint ecosystem.</p><p><b>ROLE RESPONSIBILITIES</b></p><ul><li>Drive to deliver technology and products in the roadmap on schedule and with the highest quality.</li><li>Provide advice, guidance, and direction to carry out plans and procedures, ensuring schedule attainment, product development process adherence and performance.</li><li>Provide last tier support for operations and support teams, including root cause analysis and preventative analysis.</li><li>Provide technical support with expert knowledge and act as an escalation point for the Desktop Operations team and anything related to the End User Computing environment, focusing on our Endpoint Security Protection, and application management.</li><li>Partner with other Engineering teams to develop solutions.</li><li>Manage the Azure Virtual Desktop (AVD) environment including creating images, deploy VMs, monitor VM performance.</li><li>Develop automated solutions for deploying software packages, application patches/updates and workstation images.</li><li>Engineer and support multiple Windows desktop images.</li><li>Manage the entire lifecycle of our global standard desktop and laptop models.</li><li>Design and implement Microsoft Intune solutions that meet end user requirements.</li><li>Create and manage Intune policies for application deployment, device compliance, and security configurations.</li><li>Ensure seamless integration with other Microsoft 365 services.</li><li>Windows 11 Provisioning: Design and deploy Windows 11 provisioning processes using Intune Autopilot. Configure and manage Windows Update for Business policies. Develop and maintain standardized 11 deployment images.</li><li>Active Directory Group Policy Management: Design and manage Group Policy Objects (GPOs) in Active Directory to enforce security and configuration policies. Collaborate with the Active Directory team to ensure alignment with broader infrastructure goals.</li><li>Security and Compliance: Implement security best practices and compliance policies within Intune. Monitor and respond to security incidents related to mobile devices and endpoints.</li><li>Documentation and Training: Create detailed documentation of Intune configurations, Windows provisioning processes, and Group Policy settings.</li><li>Maintain desktop images and modify SCCM task sequences as needed.</li><li>Package, test, and deploy new applications as needed.</li><li>Maintain and expand existing Knowledge Base.</li><li>Create new and maintain existing support documents to maintain high standards of quality in the delivery of End User Computing services.</li></ul><p><b>TECHNICAL QUALIFICATIONS</b></p><ul><li>8+ years total work experience, 5+ of those years with proven experience in designing and implementing Microsoft Intune solutions.</li><li>5 years&rsquo; experience as a system engineer.</li><li>Desktop engineering and support experience in an enterprise environment.</li><li>Proven experience with Windows 11, Active Directory Structure, and Managing Group Policies.</li><li>Experience developing and testing software packages using Install shield, or equivalent.</li><li>Skills managing a VDI environment (Azure Virtual Desktop preferred).</li><li>Expert level experience within End Point Protection Engineering.</li><li>Expertise in MECM and Intune.</li><li>Expert in patch management including bios and firmware updates, service pack upgrades, and application-based updates.</li><li>Basic Database Administration experience, particularly in SQL Server.</li></ul><p><b>GENERAL QUALIFICATIONS</b></p><ul><li>Proficient communication skills, both written and verbal.</li><li>Possess sound organization and problem-solving skills.</li><li>Excellent ability to work in a team environment.</li><li>Motivated to learn and grow professionally.</li></ul><p><b>EDUCATION REQUIREMENTS</b></p><ul><li>Bachelor&rsquo;s degree from an accredited college or university.</li></ul><p><b>Benefits:</b></p><ul><li>A supportive, diverse and global team with a brilliant culture.</li><li>Great opportunities to make the role your own, upskill yourself and get involved with exciting projects.</li><li>Total Wellbeing is our focus. Alongside your professional excellence, you join the likeminded colleagues to create a larger impact within the company and society at large in your chosen area of passion - CSR Council, Diversity Council, Women Connect, Sparks &ndash; Engagement Champion to name a few.</li><li>To know more about us visit &ndash; <b>www.hcltech.com</b></li><li>For more information on how we process your personal data, please refer to HCLTech&rsquo;s <b>Candidate Data Privacy Notice.</b></li></ul><p>Pay: &pound;24,420.00-&pound;50,000.00 per year</p><p>Work Location: In person</p>

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