intelligence engineer

Digital Waffle

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 <ul>
 <li>
 
 Onsite role in Soho
 
 </li>
 <li>
 
 &pound;80-120k depending on experience
 
 </li>
 </ul>
 
 
 
 
 We&rsquo;re on a mission to reinvent how AI understands people &mdash; not through CVs or data points, but through story, reasoning, and curiosity. We&rsquo;re building systems that listen, interpret, and understand
 
 why
 
 people say what they say. The goal? Create AI that perceives
 
 human potential
 
 , not just human input.
 
 
 If you love working on ideas that feel impossible &mdash; keep reading.
 
 
 
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for an engineer who blends
 
 technical depth with creative instinct
 
 .
 
 
 You&rsquo;ll work directly with founders to shape the
 
 intelligence layer
 
 behind a new generation of human-aware AI &mdash; from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.
 
 
 
 
 
 If you&rsquo;ve worked in a
 
 disruptive industry
 
 and built something brand new &mdash; not just improved what already existed &mdash; this will feel familiar.
 
 
 
 
 
 
 What You&rsquo;ll Be Building
 
 
 <ul>
 <li>
 Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
 </li>
 <li>
 Fast, intuitive interfaces that make human-AI interaction feel alive
 </li>
 <li>
 Rapid prototypes that turn bold ideas into working products
 </li>
 <li>
 Scalable infrastructure for experimentation and learning
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You
 
 
 <ul>
 <li>
 Come from a
 
 disruptive, fast-moving environment
 
 </li>
 <li>
 Have helped launch or shape
 
 new ideas, products, or technologies
 
 </li>
 <li>
 Think in systems and build with elegance
 </li>
 <li>
 Believe speed drives creativity
 </li>
 <li>
 Are curious about human cognition and behaviour
 </li>
 <li>
 Value truth, craft, and collaboration over hierarchy
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Deep fluency in
 
 TypeScript
 
 and modern frameworks
 </li>
 <li>
 Experience with
 
 vector databases
 
 and
 
 embeddings
 
 </li>
 <li>
 Strength in
 
 LLM fine-tuning
 
 or multimodal reasoning
 </li>
 <li>
 Proven ability to ship full-stack products fast
 </li>
 <li>
 Strong
 
 Python
 
 skills
 </li>
 <li>
 Experience using
 
 Gemini
 
 would be preferred
 </li>
 </ul>
 
 
 
 
 
 The Culture
 
 
 
 Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.
 
</div>

Artificial Intelligence Engineer

MBN Solutions

<div>
 
 
 AI Engineer &ndash; Human Behaviour &ndash; Early stage startup - London, Hybrid (3 days per week) - &pound;80,000 to &pound;120,000 + Equity
 
 
 
 Businesses have always relied on historical data to understand what customers have done. This startup is changing that. By simulating thousands of autonomous AI agents that model human behaviour, organisations can predict how customers are likely to respond before launching a product, changing pricing or making strategic decisions.
 
 
 
 
 
 
 Story so far:
 
 
 
 This is a rare opportunity to join a very early stage, well funded AI startup at the earliest stage of its journey, working alongside second time founders with previous successful exits and leadership experience at some of the world's leading technology companies.
 
 
 Having recently secured multi million pound pre seed funding, the business has already validated its technology with paying enterprise customers and is now building the first production version of a platform that aims to predict human behaviour using AI driven simulations.
 
 
 Rather than relying on historical analytics, the platform creates thousands of autonomous AI agents that simulate customer behaviour, allowing organisations to test pricing, commercial strategies and decision making before deploying them in the real world.
 
 
 Over the next few months you'll play a key role in taking successful pilots into a scalable product while working directly with customers and helping shape the technical direction of the business.
 
 
 
 
 
 
 The team:
 
 
 
 
 Founder 1
 
 
 
 An ex Meta AI engineer with over a decade of experience building production AI systems. A proven technical founder who has already built one successful AI startup and is now starting again
 
 
 
 Founder 2
 
 
 
 A second time founder whose previous company was acquired by a massive wearable company. Former Venture Partner with deep experience across startups, fundraising and scaling technology businesses.
 
 
 
 
 
 
 
 
 
 The role
 
 
 
 You'll work closely with AI researchers and software engineers to build an AI first product from the ground up.
 
 
 
 
 
 This is a hands on engineering role where you'll be developing and deploying production grade multi agent systems at scale, helping improve model quality and reliability while ensuring the platform can support tens of thousands of autonomous agents.
 
 
 You'll be involved in:
 
 <ul>
 <li>
 Building and deploying production multi agent AI systems with 25k Agnets
 </li>
 <li>
 Improving LLM performance through evaluation and experimentation
 </li>
 <li>
 Reducing hallucinations and improving model reliability
 </li>
 <li>
 Working with open source foundation models, inference optimisation and quantisation
 </li>
 <li>
 Collaborating with researchers to translate cutting edge ideas into production software
 </li>
 <li>
 Building AI capabilities that become core to the product
 </li>
 <li>
 Working directly with enterprise customers to understand requirements and deliver solutions
 </li>
 </ul>
 
 
 
 
 
 What we're looking for
 
 
 <ul>
 <li>
 5+ years of software or AI engineering experience
 </li>
 <li>
 Experience building and deploying AI applications into production
 </li>
 <li>
 Strong Python skills
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks
 </li>
 <li>
 Understanding of inference, model optimisation and evaluation frameworks
 </li>
 <li>
 Experience with multi agent systems &ndash; CrewAI, LangGraph, etc
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience training or fine tuning open source models
 </li>
 <li>
 Experience building evaluation pipelines for LLM applications
 </li>
 <li>
 Background in machine learning, NLP or applied AI research
 </li>
 <li>
 Experience in startups from Seed to Series A
 </li>
 </ul>
 
 
 
 
 
 Interested?
 
 
 
 If you&rsquo;d like to hear more, apply now or get in touch:
 
 
 mo@mbnsolutions.com
 
 
 02037736498
 
</div>

GSMA

<div>Department: Technology
Team: Security
Location: London with hybrid ways of working
Position type: Permanent
What the hiring manager says
This is a hands on engineering role at the heart of GSMA&rsquo;s TISAC platform transformation. You will be responsible for building, evolving, and maintaining the technical backbone that enables cyber threat intelligence sharing for the global telecoms ecosystem. We&rsquo;re looking for a T-ISAC Platform Software Engineer who thrives on solving complex architectural challenges, automating largescale systems, and bringing engineering excellence to a critical industry capability.
You&rsquo;ll work closely with CTI analysts, architecture teams, and platform vendors to deliver a secure, scalable, and resilient T‑ISAC service. If you are passionate about infrastructure, automation, API integrations, platform reliability, and delivering secure-by-design services to a global community, this role is your opportunity to help shape the future of telecom security.
If you thrive on working with cutting-edge intelligence platforms, enjoy mentoring others and want to help mature a global security community, this is an opportunity to truly influence the future of telecom security.
Agwu Nwoke, Industry Security Programme Director
About the Team
The GSMA Industry Security Team is the mobile industry&rsquo;s focal point for the mobile network security. The team is responsible for co-ordinating GSMA member security working groups, leading industry wide security initiatives and engaging with global regulators to ensure security is an enabler and not a barrier to next generation mobile services.
The team is responsible for a number of industry wide Cybersecurity schemes including:<ul><li>
Telecommunications Information Sharing and Analysis Center (T-ISAC).</li><li>
Mobile Co-ordinated Vulnerability Disclosure (CVD).</li><li>
Network Equipment Assurance Scheme (NESAS).</li></ul>
About the GSMA T-ISAC
The Telecommunication Information Sharing and Analysis Centre (T-ISAC) is the cybersecurity threat intelligence community for the telecommunication industry, dedicated to facilitating collaboration and intelligence sharing among mobile network operators, mobile virtual network operators and industry stakeholders. T-ISAC provides GSMA members with critical cyber threat intelligence, fostering a trusted environment where telecommunication stakeholders can proactively address cybersecurity threats and reduce risks through the development of best practices. By uniting telecommunication MNOs, MVNOs, manufacturers, service providers and industry in a shared mission, T-ISAC enhances the mobile ecosystem&rsquo;s resilience against cyber threats. For more information, visit www.gsma.com/T-ISAC.
About the Role
As the Platform Software Engineer for T‑ISAC, you will be responsible for the engineering, operation and continuous improvement of the platforms, tooling and integrations that power the T‑ISAC service.
Key Responsibilities
Platform Engineering &amp; Development
Design, develop and maintain the T-ISAC platform, delivering secure, scalable data workflows, automation capabilities and collaboration tools that support threat intelligence sharing and enrichment.
Service Reliability &amp; Operations
Lead the operational reliability of the T-ISAC platform through proactive monitoring, incident management, performance optimisation and secure-by-design engineering practices.
Integration &amp; Interoperability
Deliver and support integrations, APIs and data exchange capabilities that enable secure, scalable intelligence sharing across members and third-party security platforms.
Platform Roadmap &amp; Technical Strategy
Shape the evolution of the T-ISAC platform by defining future-state architecture, driving technical improvements and evaluating emerging technologies.
Security &amp; Compliance
Maintain a secure and compliant platform through secure engineering practices, automated controls, vulnerability management and adherence to regulatory and governance standards.
Collaboration &amp; Community
Foster collaboration across members, analysts, security teams and industry partners to improve platform adoption, effectiveness and community engagement.
About You
You will bring enthusiasm and ownership to this specialised senior role in cyber threat intelligence analysis, joining a dynamic and ambitious team. Your drive will be key to transforming bold ideas into impactful programmes and seeing them through to successful delivery.
You will have telecoms experience gained from working at an operator, with an operator or within the wider telecom industry.
You will have proven knowledge and expertise in designing, building and operating the core platforms and infrastructure that enable scalable, reliable, secure and efficient software delivery across operations in Intelligence, Cybersecurity, Data Analytics or a related field (equivalent experience will be considered). You will also have experience working with ISACs or other information sharing organisations.
About Your skills
In addition to technical skills, you will have :
Teamwork &ndash; you will be comfortable when working collaboratively in a virtual, distributed team environment.
Communication &ndash; you will have exceptional verbal and written communication skills, with a track record of presenting to executive audiences.
Leadership &ndash; you will have proven leadership and mentoring skills, ideally within an intelligence team.
Analysis &ndash; you will have strong analytical, critical thinking and problem solving skills, with ability to analyse cybersec intelligence.
Essential<ul><li>
Extensive experience of building and implementing intelligence platforms e.g. OpenCTI, MISP.</li><li>
Experience of using collaborative open source tools as part of your analysis and research processes.</li><li>
Understanding of Nation-State Actors, Cyber Crime, Hacktivism and advanced threat actor tactics, techniques and procedures (TTPs).</li><li>
Experience in cybersecurity intelligence, including collection, analysis and dissemination.</li><li>
Professional experience within the telecom industry, whether gained at an operator, in partnership with an operator, or through work in telecom related organisations, vendors, academia or the wider mobile ecosystem.</li></ul>
Preferable<ul><li>
Understanding of mobile data, protocols and technology such as, but not limited to SS7, MOTIF, HRN, IRSF, URLs, GTs.</li><li>
Knowledge of mobile network architectures and services.</li><li>
Understanding of mobile network and services, threat landscape and the common attacks to which they are exposed.</li><li>
Comprehensive understanding of telecommunication industry operations and challenges.</li><li>
Expertise in using and applying the Mitre ATT&amp;CK&reg; framework, MISP, OpenCTI, Meta, EclecticIQ, Governments, Law Enforcement and other COIs (national and international) for threat analysis and strategy development.</li></ul>
We strive to offer a meaningful and inclusive application experience for all candidates. Should you require any accommodations or adjustments due to a disability or for any other reason during the hiring process, please contact talent@gsma.com with your request.
Contract type
Regular
Worker type
Employee<h2 class="jobSectionHeader">
What We Offer</h2>
Working at the GSMA offers you unparalleled access to the mobile industry. We offer a chance to truly shape the direction of mobile, whatever your role. By joining the GSMA, you will be exposed to a fast-paced rapidly evolving environment, working on global solutions, genuinely fascinating and industry-changing projects and a stimulating and dynamic environment designed to enable you to flourish.
In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning &amp; development opportunities, generous holiday allowances, four additional days off for professional development and many others.
To learn more about the GSMA, visit our career site, our LinkedIn page and our Twitter page.
Being You at the GSMA
We care deeply about diversity, equity and inclusivity and aspire to be the best at it. Your well-being and work/life balance is important, so flexi-time and remote working is available to all staff. We're keen to ensure everyone is equal, represented and connected so we particularly encourage applications from all demographics. The sucess of the GSMA year on year will continue to be contributed by people from all walks of life.
GSMA Values
Our values not only drive our culture &ndash; they shape how we work and interact inside and outside our global organisation.
Passionately driven
We approach everything we do with unparalleled capability, tenacity and commitment, knowing that the challenging scale, pace and complexity of our work is what leads to its world-changing impact.
Insightful leaders
We continually develop and engage our expertise, insight and creativity so that we&rsquo;re always ready to respond to the changing landscape with authority, agility and nuance.
Stronger together
We lean on each other so the industry can lean on us, embracing our diversity by actively seeking out perspectives and skill sets beyond our own, fuelling each other&rsquo;s successes and constantly asking how we can help.
Underpinning our values is our collective mindset to show up purposefully as good human beings every day, in every situation. When we&rsquo;re at our best &ndash; we are collaborative, considerate and compassionate to others, and we create a safe space for one another to thrive, assuming positive intent in our colleagues. And if we aren&rsquo;t at our best and the pressure is on &ndash; we feel free to be ourselves but still remain curious, lean into the tough stuff and we are always respectful to others and accountable for the part we play.</div>

T-ISAC Platform Software Engineer

<div>Role description 


Job Title: Power BI Engineer - Wealth/ Asset management/Finance industry exp

Location: London

Hybrid working model with 3 days onsite mandatory

Immediate start

Fixed term contract/ Contract inside IR35 only until 31st Dec 2026 with possible extensions

Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship

 Overview

We are seeking an experienced Power BI Engineer to support our client's Wealth team. This is a critical hire to ensure continuity of reporting deliverables ahead of key deadlines.

Key Responsibilities
<ul>
<li>Design, develop, and maintain Power BI dashboards and reports for finance/wealth stakeholders</li>
<li>Translate business requirements into data models and visual insights</li>
<li>Support data validation, quality checks, and performance optimisation</li>
<li>Manage and enhance existing reporting solutions during transition period</li>
</ul>
Must Have
<ul>
<li>Strong experience with Power BI (development, DAX, data modelling)</li>
<li>Proven experience in Finance domain</li>
<li>Ability to deliver under tight deadlines and fast-paced environments</li>
<li>Experience working with stakeholders and translating business needs into reports</li>
<li>Solid understanding of data integration and reporting best practices</li>
</ul>
Nice to Have
<ul>
<li>Experience with SQL / data warehousing</li>
<li>Knowledge of Azure data tools (e.g., Azure SQL, Data Factory, Synapse)</li>
<li>Familiarity with agile delivery environments</li>
</ul>
If interested, please apply with your updated CV for an immediate discussiion

#UST 
Skills 
Power BI,SQL,Finance management,Business intelligence, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

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

Complexio

<div>Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate &mdash; across people, processes, and systems.
Enterprises have invested heavily in AI platforms, copilots, and data infrastructure &mdash; yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap.
Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works &mdash; every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. 
Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on &mdash; turning organisational knowledge into measurable business outcomes. 
A joint venture between Hafnia and S&iacute;mbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries.
As a Senior AI Engineer with broad expertise, you will be a vital part of our team, developing innovative applications that leverage AI capabilities to enhance user experiences and streamline communication. You will work alongside a talented team of Data Scientists, DevOps, Product Managers, Business Analysts experts and play a key role in designing and implementing specialised AI assistant technology. 
Requirements 
You have<ul><li>
Excellent problem-solving and technical skills.</li><li>
Strong communication and collaboration skills, with the ability to work in a team.</li><li>
Interest and experience in working on early-stage software and a wide range of tasks.</li><li>
Proven experience using technology and how it helped you build a lasting product.</li></ul>
Key Responsibilities<ul><li>
Collaborate with cross-functional teams to develop key features and applications, including product managers, designers, and other engineers.</li><li>
Design, develop, and maintain both front-end and back-end components of web applications, ensuring a seamless user experience.</li><li>
Benchmark, analyze, and optimize web applications for scalability, security, and responsiveness.</li><li>
Troubleshoot and resolve software defects and issues, ensuring high software quality.</li><li>
Participate in code reviews, documentation, and the development of coding standards.</li></ul>
Requirements<ul><li>
Preferred M.Sc or Ph.d degree in Computer Science or a related field.</li><li>
7+ years of experience in Software development</li><li>
Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (Javascript, Python, Ruby)</li><li>
Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js</li><li>
Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or similar.</li><li>
Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs.</li><li>
Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP).</li></ul> 

Benefits 
<ul><li>
Experience with graph databases such as neo4js, pinecone or milvious or similar.</li><li>
Experience building native desktop apps.</li><li>
Experience with NLP libraries and frameworks, such as spaCy, or Transformers.</li><li>
Familiarity with machine learning concepts and the ability to work with NLP datase</li></ul></div>

AI Engineer

Accurx

<div>
 
 💬 Accurx is where conversations happen with and about patients.
 
 
 
 For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We&rsquo;re changing that by building a single, system-wide platform that connects everyone through communication.
 
 
 What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices.
 
 
 Our platform now powers
 
 Total Triage
 
 to manage patient demand, and
 
 Self-Book
 
 , which lets patients schedule their own appointments in seconds. We&rsquo;ve automated routine care with
 
 Patient Questionnaires
 
 for long-term conditions, while
 
 Accumail
 
 finally allows staff-to-staff communication to happen instantly across different care settings. We&rsquo;re now pushing the boundaries of the consultation itself with
 
 Accurx Scribe
 
 , our AI-powered note-taker that drafts medical notes in real-time.
 
 
 
 The team
 
 
 
 We are a mission-driven team of 80 engineers based in London and the surrounding areas, united by the challenge of fixing healthcare communication. We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need.
 
 
 We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform.
 
 
 As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams - diving deep into selected ones to help them achieve great results with AI and ML. One key team you'll work closely with is our Triage Intelligence team, a high-impact, cross-functional group building the intelligence that powers how Accurx understands patient healthcare requests.
 
 
 
 Challenges you&rsquo;ll solve...
 
 
 
 <ul>
 <li>
 You will set the technical direction for how AI/ML capabilities are built, deployed, and evolved across the organisation - defining both the what and the how, and ensuring alignment with Accurx's broader product roadmap.
 </li>
 <li>
 You will own the end-to-end quality strategy for ML systems - going beyond standard metrics to incorporate privacy, bias, security, and maintainability, and designing systems that don't depend on a single expert to maintain.
 </li>
 <li>
 You will act as a force multiplier across teams, building reusable platform capabilities, mentoring engineers into senior roles, and shaping how we hire and grow ML talent at Accurx.
 </li>
 <li>
 You will identify and champion new AI/ML-powered product opportunities, translating clinical and product objectives into capabilities with group-wide impact - and leading decisively when the path forward is unclear.
 
 
 </li>
 </ul>
 
 You should apply if...
 
 
 
 <ul>
 <li>
 You have deep expertise across a range of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality.
 </li>
 <li>
 You have a proven track record of taking models from experimentation to high-availability production, designing systems (data versioning, training pipelines, model serving, monitoring) built for long-term maintainability.
 </li>
 <li>
 You are comfortable setting technical direction for a team or area, making high-stakes build-vs-buy decisions, and influencing roadmaps beyond your immediate team.
 </li>
 <li>
 You bring mastery of a production-grade language (e.g. Python, C#, or Go), with a focus on extensible, modular components and a strong instinct for system design.
 </li>
 <li>
 You are a natural mentor and communicator, able to grow the next generation of senior engineers and tailor technical narratives to audiences from IC engineers to executive stakeholders.
 
 
 </li>
 </ul>
 
 What&rsquo;s in it for me?
 
 
 
 You'll be joining an established but fast-growing Tech for Good movement, where we're led by our Principles and our mission to fix healthcare communication.
 
 
 <ul>
 <li>
 &pound;115,000 - &pound;135,000 salary + share options up to &pound;50,000
 </li>
 <li>
 Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you&rsquo;re at in life
 </li>
 <li>
 Flexible working: We are an office first culture and ask that you&rsquo;re in our (dog-friendly) Shoreditch office 3 days a week, with core hours of 10am - 4pm
 </li>
 <li>
 Time off: You&rsquo;ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year
 </li>
 <li>
 Family matters: We offer enhanced parental leave, fertility support and parental loss support
 </li>
 <li>
 We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!
 </li>
 </ul>
</div>

Staff Machine Learning Engineer

Cushman & Wakefield

<div>Job Title
Junior Analytics Engineer
Job Description Summary
Job Description
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.
Responsibilities:<ul><li>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</li><li>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</li><li>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</li><li>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</li><li>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</li><li>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</li><li>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</li><li>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</li><li>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</li><li>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</li><li>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</li><li>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</li><li>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</li></ul>
Requirements:<ul><li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</li><li>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</li><li>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</li><li>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</li><li>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</li><li>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</li><li>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</li><li>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</li><li>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</li><li>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</li><li>
Good communication skills, with the ability to ask clear questions and document work clearly.</li><li>
Knowledge of the real estate sector is a plus but not required.</li><li>
Fluent in English; additional European languages are an advantage.</li></ul> 
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact. 

INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

Explore 338+ Intelligence engineer in London this July. Find roles across top companies and apply now to boost your career.

338 intelligence engineer jobs In London

Artificial Intelligence Engineer

Artificial Intelligence Engineer

T-ISAC Platform Software Engineer

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

AI Engineer

Staff Machine Learning Engineer

Junior Analytics Engineer