senior data scientist

senior data engineer

senior analytics engineer

senior data scientist ii

ai researcher

senior research analyst

Mitie

<div><h1 class="jobSectionHeader">Join Mitie &ndash; the future of high performing places.</h1>

ROLE: Senior Analyst (12‑Month Fixed Term Contract) 
LOCATION: Hybrid (UK &ndash; Office presence as required) 
CONTRACT: Full Time (12‑Month FTC)

At Mitie, our people are our greatest strength, and our purpose is driven by a belief that better places lead to thriving communities. We're looking for a Senior Analyst who combines strong data engineering fundamentals with a passion for solving business problems through data, delivering high‑quality insight and driving performance.

This role sits across analytics, data modelling, and emerging data science, working with large datasets to produce meaningful, actionable outcomes.

<h2 class="jobSectionHeader">Role Responsibilities</h2>
<ul><li>Lead delivery of advanced analytics, identifying trends, anomalies, root causes, and performance drivers.</li>
<li>Transform complex datasets into clear, actionable insights and business narratives for stakeholders.</li>
<li>Build and maintain semantic data models, ensuring data is structured for intuitive reporting and deep analysis.</li>
<li>Develop and optimise SQL and Python (Pandas) pipelines to prepare and curate Gold‑standard datasets.</li>
<li>Design, manage, and monitor data pipelines, ensuring reliability and scalability.</li>
<li>Work across Silver, Gold, and Semantic layers within a Medallion Architecture.</li>
<li>Troubleshoot upstream data issues and ensure outputs are built on reliable data foundations.</li>
<li>Collaborate with stakeholders to gather requirements, challenge assumptions, and deliver value‑driven solutions.</li>
<li>Communicate analytical outputs clearly to both technical and non‑technical audiences.</li>
<li>Work closely with Engineers and Analysts to ensure consistent, high‑quality data outputs across the lifecycle.</li>
</ul><h2 class="jobSectionHeader">Required Qualifications</h2>

Applicants must meet the below defined requirements for the role.
<ul>
<li>Strong experience with SQL and Python (Pandas) for end‑to‑end data manipulation.</li>
<li>Experience working within the Azure data stack (Microsoft Fabric preferred).</li>
<li>Strong knowledge of Power BI or similar visualisation tools.</li>
<li>Experience working with Medallion Architecture (Silver, Gold, Semantic layers).</li>
<li>Understanding of ETL/ELT processes and orchestration tools (e.g. Azure Data Factory).</li>
<li>Strong analytical mindset with the ability to translate data into business insights.</li>
<li>Experience working with large datasets and delivering scalable analytical solutions.</li>
</ul><h2 class="jobSectionHeader">Desirable</h2>
<ul><li>Experience with PySpark/Spark for high‑volume data processing.</li>
<li>Knowledge of statistical techniques (e.g. hypothesis testing, correlation, distribution analysis).</li>
<li>Exposure to data science concepts such as regression and classification models.</li>
<li>Experience working within data engineering and analytics hybrid roles.</li>
</ul><h2 class="jobSectionHeader">Key Skills &amp; Attributes</h2>
<ul><li>Strong problem‑solving and investigative mindset.</li>
<li>Ability to translate ambiguous business questions into structured analysis.</li>
<li>Excellent communication skills, with the ability to present complex insights clearly.</li>
<li>Proactive, self‑motivated, and comfortable working in a hybrid, fast‑paced environment.</li>
<li>Collaborative approach with strong stakeholder engagement skills.</li>
</ul><h2 class="jobSectionHeader">What's in it for you?</h2>
<ul><li>Opportunity to work in a data‑driven, insight‑led environment with exposure to advanced analytics and data science.</li>
<li>Access to Mitie's Choices platform, including lifestyle benefits, wellbeing support, and retail discounts.</li>
<li>Virtual GP access for you and your household.</li>
<li>Financial wellbeing support through Salary Finance.</li>
<li>MiDeals discounts, cycle‑to‑work scheme, and retail offers.</li>
<li>Life cover up to 4&times; salary, enhanced pension contributions, and save‑as‑you‑earn scheme.</li>
<li>Opportunity to earn free shares through the Mitie Matching Share Plan.</li>
<li>Recognition through the Mitie Stars programme with monthly and annual rewards.</li>
<li>Continuous development and career progression opportunities.</li>
</ul>
There's a place for you at Mitie &mdash; join us today!</div>

Senior Analyst - 12 month fixed term contract

IIT Software

IIT Software Limited is a UK-based IT delivery and consulting company providing specialist technology services to clients across the UK and internationally. We work across Life Sciences, Healthcare, and Enterprise Software sectors, delivering data-driven solutions and consulting services. We are expanding our delivery capability and are looking for an experienced Senior Data Analyst with proven Life Sciences and Healthcare sector experience to join our team.The RoleThis is a specialist role requiring deep domain knowledge of Life Sciences and Healthcare data. You will be embedded within a delivery team supporting our client's data mapping, transformation, and schema management requirements. You must be comfortable working with complex, multi-source datasets in a life sciences context and be able to translate AI and business data requirements into clear technical specifications.This is a remote, UK-based, full-time position. You will be employed directly by IIT Software Limited.Mandatory RequirementsCandidates must meet ALL of the following criteria to be considered for this role:<ul><li>Minimum 3 years of direct, hands-on experience working with Life Sciences and/or Healthcare data - this is a strict requirement and non-negotiable</li><li>5+ years of overall experience in data analysis with a focus on data mapping, data transformation, and schema management</li><li>Strong proficiency in SQL for data querying, manipulation, and profiling</li><li>Proficiency in Python (Pandas and related libraries) for data analysis and automation</li><li>Solid understanding of data structures and formats including JSON, CSV, XML, and relational and non-relational database schemas</li><li>Experience with ETL/ELT concepts and processes</li><li>Ability to translate business requirements and AI data needs into technical data mapping specifications</li><li>Excellent analytical and problem-solving skills with strong attention to detail</li><li>Strong communication and collaboration skills</li><li>Candidates must have the right to work in the United Kingdom</li></ul>Key Responsibilities<ul><li>Lead and deliver data mapping, data transformation, and schema management activities within the Life Sciences and Healthcare domain</li><li>Review and interpret complex datasets from a variety of sources specific to life sciences and healthcare environments</li><li>Write and optimise SQL queries for data querying, manipulation, and profiling</li><li>Develop and maintain Python scripts (Pandas and related libraries) for data analysis and automation</li><li>Work with a range of data structures and formats including JSON, CSV, and XML</li><li>Support ETL/ELT processes and contribute to data pipeline development</li><li>Translate business requirements and AI data needs into clear technical data mapping specifications</li><li>Collaborate with cross-functional teams including technical, business, and client stakeholders</li><li>Contribute to data governance and quality assurance activities</li></ul>Preferred Qualifications<ul><li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Information Systems, or a related quantitative field</li><li>Experience with customer data platforms (CDPs) or CRM systems such as Salesforce</li><li>Familiarity with data warehousing solutions such as Snowflake, BigQuery, or Redshift</li><li>Understanding of data preparation requirements for AI and Machine Learning models</li><li>Experience with data visualisation tools such as Tableau or Power BI</li><li>Familiarity with cloud data platforms such as AWS, Azure, or GCP</li><li>Knowledge of data governance principles and best practices</li><li>Experience in a startup or Agile development environment</li></ul>What We Offer<ul><li>Competitive salary of &pound;50,000 per annum</li><li>Workplace pension scheme</li><li>Flexible remote working arrangements</li><li>Opportunity to work on cutting-edge data and AI projects in the life sciences and healthcare sector</li><li>Supportive and collaborative team environment</li></ul>Pay: Up to &pound;50,000.00 per yearBenefits:<ul><li>Additional leave</li><li>Company pension</li><li>Flexitime</li><li>Work from home</li></ul>Work Location: Hybrid remote in London E14

Senior Data Analyst - Life Sciences and Healthcare (essential)

MarketCast

<div>
 
 Junior Data Scientist - Product
 
 
 
 
 London, UK, Reading, UK
 
 
 
 
 Role Impact
 
 
 
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 
 
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 
 
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 
 
 
 We're Looking For
 
 
 
 <ul>
 <li>
 Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
 </li>
 <li>
 Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
 </li>
 <li>
 Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
 </li>
 <li>
 Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
 </li>
 <li>
 AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
 </li>
 <li>
 Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
 </li>
 <li>
 Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
 </li>
 <li>
 Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
 </li>
 <li>
 A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
 </li>
 <li>
 A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 
 
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 
 
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, 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. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 
 
 
 Our Values
 
 
 
 
 Move The Needle
 
 
 
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 
 
 
 Client Success is Our Scoreboard
 
 
 
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 
 
 
 Grow Every Day
 
 
 
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 
 
 
 Own It
 
 
 
 Take responsibility for outcomes, not just outputs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Free movie tickets!
 </li>
 <li>
 29 days annual leave PLUS Bank Holidays
 </li>
 <li>
 Flextime with core hours between 10am and 3pm
 </li>
 <li>
 2 days&rsquo; work from home per week
 </li>
 <li>
 4% match pension scheme
 </li>
 <li>
 Enhanced maternity pay
 </li>
 <li>
 Regular social events in both UK locations
 </li>
 <li>
 Professional growth and career development including LinkedIn Learning
 
 
 </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 
 
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>

Junior Data Scientist I

9fin

<div>About 9fin
9fin is the AI platform powering global debt markets &mdash; the world&rsquo;s largest asset class at over $145 trillion.
Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.
Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.
We&rsquo;re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.<h2 class="jobSectionHeader">
What you&rsquo;ll work on</h2>
You'll be embedded with our content team, working directly with editors to turn engagement and coverage data into the decisions that shape what we publish. Sitting within the analytics team alongside our analysts and analytics engineers, you'll own content analytics end-to-end, from instrumentation through to the insight that changes editorial strategy.<ul><li>
Build engagement measurement beyond readership. Define and instrument the signals that reveal an article's true value; time on page, scroll depth, click-through.</li><li>
Separate genuine engagement from passing interest. Build tag-effectiveness analysis and LLM-based content classification so editors can see what actually resonates.</li><li>
Measure core and public audiences. Quantify engagement for our core subscriber base (client value) and broader public reach (demand generation), across content, social and video.</li><li>
Power data-driven coverage prioritisation. Surface the highest-attention companies and situations so editorial resource hits the most contentious, market-moving stories.</li><li>
Track competitive coverage and story attribution. Monitor coverage gaps, timeliness and accuracy versus competitors, and attribute market-moving stories to 9fin.</li><li>
Explain what's moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards.</li><li>
Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers.</li><li>
Be the embedded analytical partner to the newsroom. Work directly with editors, translating content questions into analysis that shapes editorial strategy and helps us build a better distressed product than the competition.</li></ul><h2 class="jobSectionHeader">
About You</h2>
You're a senior, hands-on individual contributor with real technical depth who's excited to sit inside a newsroom and use data to shape what gets covered and how.<ul><li>
Proven analytics experience, ideally in media, B2B SaaS or fintech, owning analysis end-to-end and driving real decisions.</li><li>
Expert SQL for complex analysis, optimisation and reusable datasets.</li><li>
dbt &amp; a cloud data warehouse (BigQuery, Snowflake or similar) &mdash; commercial experience building production models, tests and docs.</li><li>
Modern BI with an integrated semantic layer &mdash; building self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).</li><li>
Engagement and event analytics &mdash; designing tracking/instrumentation and analysing behavioural signals, with the statistical judgement to separate signal from noise.</li><li>
Fluent with AI tools &mdash; building LLM-based pipelines to classify and analyse content at scale.</li><li>
A strong communicator who turns analysis into clear narratives editors and leadership can act on.</li><li>
Curious and a fast learner &mdash; comfortable grasping distressed-market concepts within a few explanations; a background blending data and storytelling is a real plus.</li><li>
Finance or distressed-debt knowledge is a plus, not essential.</li><li>
Bonus: content, web, SEO, social or audience/growth analytics; Python for deeper analysis.</li></ul><h2 class="jobSectionHeader">
Our benefits</h2>
We&rsquo;re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
Financial &amp; Insurance<ul><li>
Competitive Salary (our salary bands are benchmarked at the top end of the market)</li><li>
Equity options</li><li>
Pension (your minimum contributions are 4% with 9fin matching up to 7%)</li><li>
Private Medical Insurance</li><li>
Paid sick leave with Income Protection for long periods of illness</li><li>
Group Life Assurance</li><li>
Season Ticket Loan &amp; Cycle to Work schemes</li></ul>
Time off<ul><li>
25 holiday days per year</li><li>
Local public holidays (with the ability to exchange them for alternative days)</li><li>
Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work</li><li>
Work abroad for up to 3 months a year</li><li>
1 month paid sabbatical after 5 years of service</li><li>
Enhanced parental leave &amp; flexible working arrangements available</li></ul>
Training &amp; Culture<ul><li>
Professional learning and development budget</li><li>
Quarterly team socials</li><li>
Summer and Winter company social events</li></ul>
9fin is an equal opportunities employer
At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you&rsquo;re excited about this role but your experience doesn&rsquo;t perfectly align with the job description, we encourage you to apply anyway. You might just be who we&rsquo;re looking for &mdash; either for this role, or perhaps another.</div>

Senior Data Analyst - Content

<div>About the role:
We are the world&rsquo;s largest and most successful deal analytics and modelling team. Sitting at the heart of PwC&rsquo;s +$10bn global deals business, we work with the world&rsquo;s largest investors on their most complex transactions and restructurings.
Our purpose is to support the increasingly sophisticated client demand for advanced data-driven insights to underpin their critical investment decisions. We deliver this with:<ul><li>
A range of products and services that deliver transformational insights to our clients throughout the deal cycle;
</li><li>Significant investments in cutting edge technologies and platforms;</li><li>
A world class and truly diverse team with a range of data science, technology, commercial, financial and industry backgrounds</li></ul>
For the right candidate, this is an amazing opportunity to build a career in an environment that fosters a creative and entrepreneurial spirit, with the unrivalled security, personal development, client access and investment that PwC brings.
We offer an exciting, continuous development journey to help you become a market leading deals advisor.
PwC operates in 136 countries around the world with over 364,000 employees and revenues of US$57bn.
What your days will look like:
We're looking for people with a commercial mindset who can deliver commercial insight to our clients and enhance the Deal value through compelling analysis. As a Data &amp; Analytics senior associate, you will play a key role in delivering analytics-led deal insight for clients, owning defined analytics workstreams within larger assignments, stretching yourself across many different industry sectors and engaging directly with clients, in a unique, commercially orientated role.
As part of this team you will help design and deliver high-quality analysis and insights to meet a range of business needs. For example:<ul><li>
Development of analytics showcasing the drivers and equity story of a business, either to management or to bidders, to increase deal confidence
</li><li>Creation of analytics to arm management with data-driven insights, enabling fact-based decision making and driving value within the business
</li><li>Working with clients to gather and understand data, including sourcing and integrating data from multiple internal and external sources (e.g. APIs, web data, industry datasets)</li><li>
Using Python, SQL, Databricks and other data manipulation tools to structure, cleanse, transform and analyse large or complex datasets to support robust analysis</li><li>
Using your technical expertise and translating this for non-technical stakeholders to support clear, evidence-based decisions
</li><li>Creating reports, dashboards and presentations, and communicating findings to clients and stakeholders
</li><li>Supporting business development and proposition development, including identifying opportunities to apply analytics to new client problems.</li><li>
Helping raise technical standards across the team, including developing reusable analytical approaches, coaching Associates, supporting code and output review, and contributing to the quality of analytical delivery.</li><li>
Bringing your ideas and creativity to the team, continuously challenging how we deliver the best outcomes
</li></ul>Most importantly, we need you to become a business partner and strategic advisor to our clients, translating and communicating your analysis to help answer critical commercial questions.
The role is for you if:
If you are naturally inquisitive, have an analytical mind and enjoy solving problems, we would be interested in talking to you. You should be comfortable working with data, drawing insights and explaining your thinking clearly to others. Candidates should also be prepared to travel, as some opportunities may require working at other PwC offices or client sites across the UK or overseas on a temporary basis.
Essential requirements of the role:<ul><li>
Significant relevant experience in data analytics, data science, deals or a related analytical role.</li><li>
Degree in a STEM related subject (Science / Technology / Engineering / Mathematics), and a clear interest in how data and technology can be used to solve business problems.</li><li>
Strong practical experience using Python, Databricks and /or SQL to manipulate, analyse and interpret datasets, ideally in a professional or client-facing environment.</li><li>
Experience using AI-enabled tools to accelerate workflow development, improve analytical efficiency and support more scalable analytics delivery.</li><li>
Data visualisation and presenting insights in a clear and structured way (e.g. Power BI or similar).</li><li>
Experience working with, structuring or combining multiple data sources (including large or complex datasets).</li><li>
Experience of coaching / training juniors to support their development.</li></ul>
In addition, we are looking for candidates who can demonstrate:<ul><li>
Commercial thinking to complex problems, leveraging data analytics to generate insights and support decision-making.</li><li>
An ability to translate data and analysis into clear, commercially relevant insights.
</li><li>Strong problem-solving skills and the ability to approach ambiguous or complex questions.
</li><li>Confidence communicating technical concepts to non-technical stakeholders.</li><li>
A proactive approach, with the ability to learn quickly and work effectively as part of a team.</li></ul>
The role requires flexibility to travel throughout the UK.
What you&rsquo;ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.</div>

LA&R, Data & Analytics Senior Associate (Deals Insights & Analytics)

Resolution

<div><h1 class="jobSectionHeader">About Resolution</h1>
Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher a priori confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which &mdash; if it succeeds &mdash; would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.
Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the &pound;30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.
For more information, see our announcement.<h1 class="jobSectionHeader">
About the Team</h1>
We are hiring Research Engineers across several main focus areas. We expect the boundaries between these areas to be flexible, but please indicate which mode you're more interested in (or &quot;either&quot;) in your application.
Research Automation (primary focus). A cross-cutting function that builds the infrastructure and tooling our researchers use to scale their work, increasingly leveraging fleets of AI research assistants alongside small teams of humans.
Program-embedded Research Engineering (also hiring). Research engineers embedded within one of our research programs (scalable oversight, complexity theory, learning theory, personas, and possible future programs like heuristic arguments or game theory), partnering with researchers on scaling experiments, building program-specific infrastructure, and translating theoretical insights into empirical tools.<h2 class="jobSectionHeader">
About the Role</h2>
Research Engineers at Resolution are core members of our research teams, directly driving both research and the core infrastructure behind it. We believe clean engineering on automation, experimentation, and infra is essential to ambitious research, and that excellence on this front requires active research participation.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
(Research automation track) Build agentic research infrastructure: experiment orchestration, hypothesis generation, automated analysis pipelines; autoformalization tooling for the theory side; internal AI-powered tools for researchers</li><li>
(Program-embedded track) Scale program experiments to frontier-tier models; build program-specific infrastructure; partner with researchers on engineering and implementation.</li><li>
(Both) Maintain and extend distributed training, experiment, and evaluation infrastructure</li><li>
(Both) Contribute to and maintain shared codebases across the org</li><li>
(Both) Communication of engineering &amp; automation progress, obstacles &amp; learnings to your team and the wider org via Slack and in weekly meetings.</li></ul>
We're on the lookout for excellence, so if you're a cracked engineer who doesn't precisely fit these descriptions, please still apply!<h2 class="jobSectionHeader">
You May Be a Good Fit If You</h2><ul><li>
Have a strong software engineering background, including production-quality Python</li><li>
Have deep experience with ML frameworks (PyTorch or Jax) and distributed-training stacks</li><li>
Have a demonstrated ability to ship complex systems end-to-end</li><li>
Have a Bachelor's degree or equivalent in CS, physics, math, ML, or related</li><li>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</li><li>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time.</li></ul><h2 class="jobSectionHeader">
Strong Candidates May Also Have</h2><ul><li>
Experience with autoformalization, Lean, or other proof-assistant tooling</li><li>
Background in research infrastructure or ML platform engineering at frontier labs</li><li>
Experience scaling ML systems to 100B+ parameter scale</li><li>
Experience with CUDA kernel development or GPU optimization</li><li>
Familiarity with alignment research</li></ul><h1 class="jobSectionHeader">
Application Process</h1>
Initial screener. A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests.
Work trial. A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints.
Work trial review. A 45-minute discussion of your work trial.
Research talk. A 30&ndash;40 minute interactive conversation about your previous research.
Senior 1:1. A 30-minute conversation with a member of our research leadership.<h1 class="jobSectionHeader">
Logistics</h1>
Salary: Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of salaries for this role is:<ul><li>
L3 (SWE I): $141,000 remote; $236,000 in-person</li><li>
L4 (SWE II): $208,000 remote; $346,000 in-person</li><li>
L5 (Senior SWE): $270,000 remote; $451,000 in-person</li><li>
L6 (Staff SWE): $402,000 remote; $670,000 in-person</li><li>
L7 (Senior Staff SWE): $738,000 remote; $930,000 in-person</li></ul>
Strong early-career engineers will typically come in at L3. Someone with significant independent research engineering experience would likely start at L4 or L5.
Location: Berkeley, California. Remote may be considered in exceptional cases.
Benefits:<ul><li>
5 weeks of paid vacation per year, in addition to public holidays.</li><li>
Comprehensive healthcare insurance (medical, dental, vision).</li><li>
Unlimited sick leave to prioritize your well-being.</li><li>
An unconditional 401(k) contribution equal to 4% of your salary.</li></ul>
Visa sponsorship: We can sponsor visas for relocation to Berkeley.
Minimum education: A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.
Deadline: Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.
Start date: ASAP.
Compensation Range: $141K - $930K</div>

Research Engineer

Bridewell

<div>Start Date: 14th September 2026
About Bridewell
One of the most exciting prospects in the UK cyber security sector today, Bridewell is a leading cyber security services company specialising in protecting and transforming critical business functions for some of the world&rsquo;s most trusted organisations. We are the trusted partner for operators of essential services and provide end-to-end cyber security capabilities that help our clients overcome their security challenges, allowing them to operate safely and securely.
Bridewell holds the Gold level, Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly one team.
The Opportunity
In the first three months of the Bridewell Academy, you will undergo comprehensive onboarding, where you will meet your manager and assigned buddy, who will guide you through the initial stages of your journey. During this period, you will gain exposure to our Cloud Engineering team, allowing you to familiarise yourself with cloud architecture, modern engineering practices, and the Microsoft 365 security stack &mdash; including Microsoft Defender (XDR), Microsoft Sentinel, and Microsoft Purview &mdash; alongside equivalent capabilities across other hyper-scalers. You will complete foundational training, such as the Microsoft Certified: Azure Fundamentals (AZ-900), Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900), and AWS Certified Cloud Practitioner courses, and become acquainted with our learning management systems, setting a solid foundation for your professional development.
As you progress into the three to six-month mark, you will begin shadowing and contributing to client-facing cloud projects, where you'll apply your skills in real-world scenarios. This hands-on experience will be invaluable as you collaborate with senior consultants on deployments, configuration tasks, and technical documentation across Microsoft Azure, Microsoft 365, AWS, and GCP environments &mdash; with early exposure to security tooling such as Microsoft Defender, Microsoft Entra and Microsoft Sentinel.
Between six to eighteen months, you will continue working on client-facing projects both independently and as part of a squad, enhancing your practical experience in the field. During this time, you will focus on completing essential certifications such as:
<ul><li>Microsoft Certified: Azure Administrator Associate (AZ-104)</li><li>
Microsoft Certified: Security Operations Analyst Associate (SC-200)</li><li>
Microsoft Certified: Information Protection and Compliance Administrator Associate (SC-401)
</li><li>Microsoft Certified: Cloud and AI Security Engineer (SC-500)</li><li>
AWS Certified Solutions Architect &ndash; Associate or Google Associate Cloud Engineer</li></ul>
Achieving these qualifications will further prepare you for your future role, culminating in your pathway to becoming academy certified. This structured progression ensures you are well-equipped with the knowledge and hands-on experience needed to thrive in a modern multi-cloud and cloud-security engineering career. 
Requirements 
Responsibilities<ul><li>
Support Client Engagements: Assist in the delivery of high-quality cloud engineering projects. Help clients design, deploy, and operate workloads across Microsoft Azure, Microsoft 365, AWS, and GCP, contributing to activities such as landing zone builds, identity and access configuration, network design, and the deployment and tuning of Microsoft Defender, Microsoft Sentinel, and Microsoft Purview alongside equivalent native security services in other clouds.</li><li>
Stay Informed: Actively engage in professional development by attending relevant training sessions, hackathons, vendor workshops (Microsoft, AWS, Google), and industry conferences to remain current with the latest cloud services, security tooling, architectural patterns, and engineering best practices.</li><li>
Collaborate with Consultants: Work closely with senior cloud and security engineers on project tasks &mdash; helping to gather requirements, build proofs-of-concept, author detections and analytics rules in Sentinel, configure Defender policies, script automation (e.g. PowerShell, KQL, Bicep, Terraform, ARM, CloudFormation), and prepare technical documentation to ensure project objectives are met efficiently and effectively.</li><li>
Participate in Team Meetings: Join regular squad stand-ups, design reviews, and retrospectives to discuss project progress, share insights, and gather feedback, fostering a collaborative engineering culture and enhancing your personal learning.</li><li>
Conduct Technical Research: Help with preliminary research on emerging cloud and security services, reference architectures, and comparative analysis between vendors (Azure/M365 vs. AWS vs. GCP) to support project work and internal capability development.</li><li>
Engage with Clients: Participate in client meetings, technical workshops, and whiteboarding sessions as needed, providing support and gathering information to understand client requirements and contribute to high-quality service delivery.</li></ul>
Experience<ul><li>
A degree in Computer Science, Cloud Computing, Cyber Security, an equivalent qualification, or completion of a cloud/engineering-focused training course or bootcamp.</li><li>
Minimum grade of 4/C in GCSE English Language and Maths (or equivalent).</li><li>
Three A-levels or five Highers (or equivalent).</li><li>
No work experience is needed as this is an entry-level position. We are looking for someone who will show potential for these roles through their transferable skills. Curiosity about cloud and security technology, confidence, relationship building, and a self-starter mentality are all welcome &mdash; alongside a huge eagerness to learn and build!</li></ul> 

Benefits 
Why join us?
Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values of Do the Right Thing, One Team and Above and Beyond emphasises the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but success doesn&rsquo;t end here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell will provide a great career opportunity with continual development as well as the following:
<ul><li>25 Days Holiday - Plus buy and sell options
</li><li>Flexible Working (around core office hours)
</li><li>Company Pension
</li><li>Employee Shareholder Scheme
</li><li>Personal Day &amp; Birthday Off - After 1 year of service
</li><li>Family Leave &ndash; After 1 year of service
</li><li>Life Assurance
</li><li>Electric Vehicle Scheme &amp; Cycle to Work Scheme</li><li>
Private Healthcare (incl. Gym discounts and vison care)</li></ul>
Location: Bridewell operates a hybrid and flexible working policy, however you will be required to travel to different sites on occasion, in particular our London office.
Note: To be eligible for this job you must either hold UK Security Clearance or be eligible and willing to go through this security clearance Bridewell values diversity and is an equal opportunity employer. We are dedicated to fostering an inclusive environment where all employees feel respected, supported, and empowered to do their best work. If you require any reasonable adjustments throughout the interview process please let us know.</div>

Academy Cloud Security Consultant

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