ai engineer

platform engineer

engineering director

engineering manager

head of engineering

engineering building performance coordinator

<div><p><b>JLL empowers you to shape a brighter way</b>.
</p><p></p><p>Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you&rsquo;ve got deep experience in commercial real estate, skilled trades or technology, or you&rsquo;re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
</p><p></p><p>Join JLL's dynamic team serving one of the world's largest banking and financial services organisations with a network spanning more than 50 countries and territories. We're seeking talented professionals who thrive in fast-paced environments and are eager to drive meaningful change. This is an outstanding opportunity to work alongside industry experts that help shape the future of workplace strategy for a globally recognised institution. Whether you want a career that could take you to the top or an exciting new direction, we offer opportunities, support and rewards that will help you stand out, fulfil your potential, and ultimately make your mark on something truly exciting.</p><p></p><p><b>
What this job involves:
</b></p><p></p><p>We are seeking a forward-thinking Shift technician to drive the integration of sophisticated smart building technologies into daily operations across our London flagship properties. This role requires a technical contributor The role is responsible for the execution of the day-to-day technical requirements in the workspace, ensuring compliance to SOPs, KPIs and SLAs. A key aspect of this role is to work hand in hand with the wider workspace team to deliver a resilient and consistent engineering service that supports the wider team goal of delivering an excellent workplace experience to our client&rsquo;s colleagues and their guests. A key element of this role is establishing and maintaining strong collaborative relationships with landlord teams to ensure seamless, joined-up service delivery that maximises building performance and client satisfaction.</p><p></p><p><b>
What your day-to-day will look like:</b></p><ul><li><p>
Technology Integrations &amp; Optimisation</p></li><li><p>
Actively utilise sophisticated building technologies including BMS, IoT sensors, predictive maintenance platforms, and data analytics tools in all maintenance and operational activities. Apply smart building capabilities for diagnostics, performance monitoring, and proactive issue identification during shift operations. Support continuous improvement initiatives by using building data and technology insights to optimise energy efficiency, equipment performance, and occupant comfort. Integrate technology-driven approaches into daily work routines, making smart building utilisation a core part of operational execution.</p></li><li><p>
Team Collaboration &amp; Knowledge Sharing</p></li><li><p>
Work collaboratively with other shift technicians to ensure consistent task execution, performance standards, and shared learning across all shifts. Coordinate effectively with support engineers to ensure seamless handovers, information sharing, and consistent application of technology-driven maintenance approaches throughout the operational day. Contribute to a technology-forward culture by sharing knowledge and supporting colleagues in utilising smart building systems. Participate in regular team briefings to understand how technology supports superior maintenance outcomes and collaborative service delivery.</p></li><li><p>
Landlord Liaison &amp; Collaborative Service Delivery</p></li><li><p>
Build and maintain positive working relationships with landlord technical teams, building management representatives, and property stakeholders. Coordinate and execute planned maintenance activities, system upgrades, and building modifications with landlord teams to ensure minimal disruption and aligned objectives. Participate in regular liaison meetings with landlords to discuss building performance, maintenance schedules, and opportunities for collaborative improvement. Maintain clear communication channels for sharing critical building information, emergency responses, and system performance data between JLL and landlord teams. Work collaboratively to resolve technical issues that span tenant and landlord responsibilities, ensuring seamless service delivery for occupants. Share smart building data and performance insights with landlord teams to support whole-building optimisation strategies.</p></li><li><p>
Operational Delivery Excellence</p></li><li><p>
Execute planned preventative maintenance programs, using smart building data to inform scheduling, prioritization, and execution of maintenance activities. Respond to reactive maintenance requirements, utilizing building management systems and sensor data to diagnose issues rapidly and implement effective solutions. Monitor key performance indicators through building technology platforms, identifying trends and opportunities for operational enhancement. Consistently meet maintenance engineering standards through technology-enabled processes. Coordinate with landlord teams on base building systems to ensure integrated maintenance approaches and optimal performance.</p></li><li><p>
Smart Building Systems Management</p></li><li><p>
Maintain proficient working knowledge of integrated building technologies including BMS, HVAC controls, lighting management, energy monitoring systems, and IoT-connected equipment. Analyse system performance data to identify optimisation opportunities, efficiency gains, and predictive maintenance requirements across both tenant and landlord-controlled systems. Work with vendors, technology partners, and landlord technical teams to maximise the value of installed systems. Ensure all building technology systems are properly maintained, calibrated, and operating at peak performance with appropriate information sharing across stakeholder groups.</p></li><li><p>
Standards &amp; Compliance</p></li><li><p>
Ensure all maintenance activities comply with health and safety legislation, building regulations, and JLL engineering standards. Maintain accurate digital records of maintenance activities, system performance data, test certificates, and compliance documentation with appropriate sharing protocols with landlord teams. Utilise computerised maintenance management systems (CMMS) and digital work order platforms to track and report maintenance delivery. Apply best practices in technology-enabled maintenance and collaborative service delivery across the portfolio. Ensure landlord requirements and building covenants are understood and incorporated into operational procedures.</p></li><li><p>
Stakeholder Communication &amp; Reporting</p></li><li><p>
Serve as a technical point of contact during shifts for both JLL clients and landlord representatives, providing knowledgeable guidance on building systems and smart technology capabilities. Contribute to performance reports utilising building data and analytics, demonstrating value delivered through technology optimisation to both clients and landlord stakeholders. Facilitate effective communication between shift operations, day engineering teams, landlord technical staff, and client representatives. Work closely with other facility service teams and landlord service providers to ensure integrated, technology-enabled service delivery. Escalate critical issues appropriately through both JLL and landlord management structures to ensure rapid resolution.</p></li></ul><p></p><p><b>
Required Qualifications</b></p><p></p><p><b>
Essential</b></p><ul><li><p>
City &amp; Guilds Level 3 or equivalent qualification in Electrical Installation or Mechanical Engineering</p></li><li><p>
Minimum 3- 5 years' experience in building services maintenance with demonstrated progression in technical complexity</p></li><li><p>
Proven experience working with building management systems and smart building technologies</p></li><li><p>
Strong track record of utilising technology to improve maintenance outcomes and operational efficiency</p></li><li><p>
Demonstrated experience collaborating with landlord teams, property management, or multi-stakeholder environments</p></li><li><p>
Safe Working Practices - Comprehensive understanding of the Permit to Work process, risk assessments, and maintaining safe conditions while coordinating on-site contractors.</p></li></ul><p></p><p><b>
Desirable</b></p><ul><li><p>
System Interfacing - Proven experience navigating Building Management Systems (BMS) for tracking plant performance and conducting basic fault-finding diagnostics.</p></li><li><p>
IOSH Managing Safely or equivalent health and safety qualification</p></li><li><p>
Experience working in multi-tenanted buildings with complex landlord/tenant relationships</p></li><li><p>
Background in large commercial office environments or complex mixed-use properties</p></li></ul><p></p><p><b>
Location:
</b></p><p></p>On-site &ndash;London, GBR<p></p><p>
If this job description resonates with you, we encourage you to apply even if you don&rsquo;t meet all of the requirements. We&rsquo;re interested in getting to know you and what you bring to the table!</p><p></p><p>
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.</p><p></p><p><b><i>
JLL Privacy Notice</i></b></p><p>
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL&rsquo;s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.</p><p></p><p>
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.</p><p></p><p>
For additional details please see our career site pages for each country.</p><p></p><p>
Jones Lang LaSalle (&ldquo;JLL&rdquo;) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process &ndash; including the online application and/or overall selection process &ndash; you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page &gt; I want to work for JLL.</p></div>

Workspace Engineering Shift Technician

Orbital

<div><p>Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing.</p><p>
Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products.</p><p>
We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing.</p><p>
Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn.</p><h2 class="jobSectionHeader"><b>
Role Overview
</b></h2><p>Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation.</p><p>
As Forward Deployed Engineering Lead at Orbital you will build and lead the Forward Deployed Engineering function, owning its technical standards, delivery model and team. You are an engineering leader who builds alongside customers, not a delivery leader who manages engineers. You will deliver complex deployments hands-on while hiring and developing the team that scales this capability across Orbital's growing customer base.</p><p>
First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><p><b>
Deliver deployments hands-on, across the breadth of industrial R&amp;D</b></p><ul><li><p>
Drive customer adoption so CurieOS becomes how their scientists and engineers work day-to-day</p></li><li><p>
Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems</p></li><li><p>
Own the technical quality of deployments from prototype through production, including reliability, maintainability and operational performance</p></li><li><p>
Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems</p></li><li><p>
Develop reusable integration patterns that allow CurieOS to operate reliably across complex customer environments</p></li></ul><p><b>
Own delivery end-to-end</b></p><ul><li><p>
Embed with customer teams to understand ambiguous, high-value R&amp;D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact</p></li><li><p>
Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn</p></li><li><p>
Own the engagement from initial technical discovery through implementation, production deployment and adoption</p></li><li><p>
Set KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided), measure pre/post and report outcomes to executive sponsors</p></li></ul><p><b>
Build and lead the team</b></p><ul><li><p>
Build and lead the Forward Deployed Engineering function, owning its technical standards, engineering practices and delivery model</p></li><li><p>
Hire, develop and manage exceptional Forward Deployed Engineers across diverse scientific and engineering domains</p></li><li><p>
Set the technical bar through code and architecture review, and act as the escalation point for the most difficult technical decisions and production issues</p></li><li><p>
Staff engagements based on technical complexity and individual strengths, while developing engineers into increasingly independent technical leaders</p></li><li><p>
Codify successful approaches into reusable architectures, tooling and playbooks so the team becomes more effective as it scales</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For
</b></h2><ul><li><p>Significant experience in enterprise software technical delivery or forward deployed engineering roles, you have led complex deployments and written production code alongside customers</p></li><li><p>
Experience building a forward deployed engineering or solutions function, hiring the team, setting the standards and defining the delivery model</p></li><li><p>
The ability to move fluidly between strategy conversations with R&amp;D leadership and debugging sessions with engineers</p></li><li><p>
A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users</p></li><li><p>
Strong software engineering fundamentals, you still build, and your technical judgement is respected by the engineers you lead</p></li><li><p>
A genuine interest in building software that enables breakthrough scientific and industrial applications</p></li></ul><p><i>
Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></p></div>

Forward Deployed Engineering Lead

<div><p>Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing.</p><p>
Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products.</p><p>
We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing.</p><p>
Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn.</p><p></p><h2 class="jobSectionHeader"><b>
Role Overview
</b></h2><p>Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation.</p><p>
As a Forward Deployed Engineer at Orbital you will deliver CurieOS into customer environments hands-on, writing production code, designing architectures, building integrations and solving problems across the full breadth of industrial R&amp;D. You will embed with customer teams, translate ambiguous high-value problems into working systems, and build solutions that become part of how their scientists and engineers work day-to-day.</p><p>
First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><p><b>
Deliver deployments hands-on, across the breadth of industrial R&amp;D</b></p><ul><li><p>
Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems</p></li><li><p>
Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems</p></li><li><p>
Build solutions that become embedded in how customer scientists and engineers work day-to-day</p></li></ul><p><b>
Build and deploy</b></p><ul><li><p>
Embed with customer teams to understand ambiguous, high-value R&amp;D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact</p></li><li><p>
Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn</p></li><li><p>
Build evaluation loops with customer scientists and engineers, defining workflow-specific benchmarks and acceptance criteria that prove the system works in their world</p></li><li><p>
Own your engagement from initial technical discovery through implementation, production deployment and adoption, including technical quality</p></li><li><p>
Track KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided) and communicate progress and outcomes to customer stakeholders</p></li></ul><p><b>
Learn and adapt</b></p><ul><li><p>
Rapidly upskill across unfamiliar scientific and engineering domains by collaborating with domain experts, no prior chemistry, materials, or engineering experience required</p></li><li><p>
Codify successful approaches into reusable integration patterns, tooling and playbooks so every engagement makes the next one faster</p></li><li><p>
Feed field signal to the platform engineering team to shape the CurieOS roadmap</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For
</b></h2><ul><li><p>Strong software engineering fundamentals and a track record of independently building, shipping and operating production software</p></li><li><p>
A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users</p></li><li><p>
The ability to move fluidly between conversations with customer scientists and engineers and deep technical implementation work</p></li><li><p>
Experience deploying software into complex production environments</p></li><li><p>
A genuine interest in building software that enables breakthrough scientific and industrial applications</p></li></ul><p><i>
Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></p></div>

Forward Deployed Engineer

Catapult Sports

<div><p><b>Senior Software Engineer (Java/Angular)</b></p><br>
<p>
Catapult is building the future of sports performance technology, with a mission to <b>Unleash the Potential</b> of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing.</p>
<p>
We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes' health, game-day readiness, and performance, as well as in-game tactics.
</p><p>Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success.</p>
<h3 class="jobSectionHeader"><b>
WE WANT PEOPLE WHO ARE PASSIONATE ABOUT STATE OF THE ART TECHNOLOGY</b></h3>
<p>
We are looking for a talented and inquisitive <b>Senior Software Engineer</b> whose drive for learning and determination for continuous improvement aligns with our ambitious, fast-growing and transforming company.</p>
<p>
Based in London, you will be a key player in designing, building, and evolving our web-based football analytics platform. Working across backend services and frontend UX/UI, you will contribute to a broad range of product capabilities that help professional football teams analyse and work with complex performance data in an intuitive and effective way.</p>
<p>
As a Senior Software Engineer, you will take ownership of features from design through implementation and deployment, contribute to technical decisions, and continuously improve the quality of our code, architecture, and development practices. You will work closely with Product and other engineering teams to turn product requirements into reliable, high-quality software that delivers real value to our customers.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL DO</b></h3>
<ul><li>Contribute substantially to the design, implementation and maintenance of efficient, reusable and reliable code to solve a variety of customers' needs while considering existing technology, architecture and processes</li>
<li>Help drive code quality, organisation and best practices throughout the entire development process and in coordination with team objectives</li>
<li>Actively participate in team engineering processes, design meetings and code reviews with the view of continuously lifting quality and improving</li>
<li>Contribute to our test strategy by helping define test cases, authoring unit tests and driving automation wherever appropriate</li>
Bring a growth mindset to every task <li>- sharing ideas and opinions with an attitude and appetite for improvement; the ability to challenge, pursue outcomes and take ownership of tasks in a collaborative environment</li>
</ul><h3 class="jobSectionHeader"><b>WHAT YOU'LL NEED</b></h3>
<ul><li>7+ years of professional software engineering experience, designing, building, and operating production grade applications and services</li>
<li>Strong experience with Java / Spring Boot and a modern JavaScript / TypeScript framework such as Angular or React</li>
<li>Experience with Kotlin is a plus, but not required</li>
<li>Strong experience with PostgreSQL, including data modelling, query design, and performance optimization</li>
<li>Strong understanding of API design, distributed systems, and client server architectures</li>
<li>Experience with automated testing, continuous integration, continuous deployment, and release automation</li>
<li>Ability to take ownership of features and technical solutions from architecture and implementation through to production and ongoing operation</li>
<li>Knowledge of Capacitor, Electron, RxDB, or offline capable application development is a plus</li>
</ul><h3 class="jobSectionHeader"><b>WHAT YOUR SUCCESS WILL LOOK LIKE</b></h3>
<ul><li>I<b>n 6 months:</b> You'll be confidently delivering features across our web analytics platform, contributing across backend services and frontend UX/UI implementation, and shipping high-quality production changes that create real value for our customers.</li>
<li><b>In 12 months</b>: You'll be owning significant features and parts of the platform end to end, leading their technical design and implementation across backend and frontend, and helping shape how our architecture and engineering practices evolve as the product grows.</li>
</ul>
<p><b>WHY CATAPULT?</b></p>
<ul>
<li>We have amazing people. We promise you'll work with some of the most ambitious, intelligent people in an exciting industry, and do some of the best work of your life.</li>
<li>We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary.</li>
<li>We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance.</li>
<li>Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness.
</li><li>We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve. There is an unlimited opportunity to grow, do more, and do better.</li>
</ul>
<p>Whether you're interested in sports or not, you'll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet!</p>
<p>
Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do.</p>
<p>
All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.</p></div>

Senior Software Engineer

Bain & Company

WHAT MAKES US A GREAT PLACE TO WORK
<br><br>
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on [1] Glassdoor’s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
<br><br>
WHO YOU WILL WORK WITH
<br><br>
Bain’s [2] AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture, and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.
<br><br>
WHERE YOU’LL FIT WITHIN THE TEAM
<br><br>
The AI Engineering Intern will contribute to the design and development of generative AI applications and agentic solutions for Bain’s clients. Working alongside experienced engineers, consultants, and data scientists, you will gain hands-on exposure to the full AI development lifecycle—from early prototyping through to production-ready deployment. This is a learning-first role: you will grow through real project work, close mentorship, frequent feedback, and increasing responsibility over time.
<br><br>
Bain offers significant learning and growth opportunities through our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time Bain works with clients on board-level and executive priorities. As an intern, you will build the technical core of transformations and help move solutions from prototype to real adoption. You will have opportunities to collaborate with major AI ecosystem partners through Bain’s partnerships, contributing to real client deployments and shaping how emerging capabilities are applied in enterprise settings
<br><br>
WHAT YOU’LL DO
<br><ul>
<li>Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li>
<li>Support the implementation of AI pipelines and components, including:</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Fine-tuning and parameter-efficient tuning</li>
<li>Embedding generation and optimization</li>
<li>Hybrid retrieval strategies (vector, graph, keyword)</li>
<li>Assist in implementing tool use, function calling, and orchestration across AI workflows</li>
<li>Assist in building agent capabilities including context engineering, memory and state management, orchestration, and tool integration</li>
<li>Support model experimentation, evaluation design, and production deployment tasks alongside senior team members</li>
<li>Write clean, testable code and contribute to APIs and services through the full SDLC: build, test, deploy, monitor, iterate</li>
<li>Contribute to evaluation and observability for GenAI systems: regression test suites, automated scoring, and prompt or policy iteration loops</li>
<li>Gain exposure to responsible AI practices across system design, including:</li>
<li>Implementing guardrails, fallbacks, and human-in-the-loop (HITL) workflows</li>
<li>Understanding Bain’s Responsible AI standards and supporting alignment in your work</li>
<li>Contribute to evaluation harnesses and reusable components that scale across client contexts</li>
<li>Contribute to ML solutions end-to-end, including:</li>
<li>Data preparation, feature engineering, model selection, and training</li>
<li>Validation, testing, and performance analysis</li>
<li>Applying appropriate ML methods spanning classical ML and deep learning</li>
<li>Developing working knowledge of transformer fundamentals and LLM concepts</li>
<li>Collaborate with product, engineering, and data science teammates to build well-structured, reliable AI systems</li>
<li>Communicate clearly in working sessions, demos, and documentation—with both technical and non-technical audiences</li>
<li>Support client discussions and documentation as part of broader engagement teams</li>
</ul>
ABOUT YOU
<br><ul>
<li>0-2+ years of professional AI / ML engineering experience, or equivalent through internships, research, academic projects, or open-source contributions</li>
<li>Currently pursuing or recently completed a bachelor’s, master’s, or PhD in CS, ML, AI, Data Science, Engineering, or a related quantitative field; or equivalent early-career experience</li>
<li>Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions</li>
<li>Proficiency in Python and some experience building APIs or services (e.g., REST/gRPC), or comparable project-based experience</li>
<li>Experience building complex, multi-stack generative AI programs from conception through production</li>
<li>Exposure to retrieval and search systems (e.g., vector search, hybrid retrieval, reranking) and familiarity with structured and unstructured data stores</li>
<li>Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience preferred</li>
<li>Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling</li>
<li>Excellent interpersonal and communication skills; interest in applying AI to real-world business problems in a client-facing environment</li>
<li>Fluency in English is required</li>
</ul>
Working Model & Travel
<br><ul>
<li>This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li>
<li>Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li>
</ul>
References
<br><br>
Visible links
<br>1. https://www.bain.com/about/awards-recognition/
<br>2. https://www.bain.com/careers/work-with-us/integrated-teams/ai-insights-solutions-ais/

AI Engineering, Intern (London)

Elsevier

<p></p><div><p><b>Would you like to shape the future of end user technology services and drive enterprise-wide transformation through AI, automation, and innovation?
</b></p><p></p><p><b>Are you passionate about building high-performing global teams, delivering operational excellence, and creating exceptional colleague experiences at scale?
</b></p><p></p><p><b>About our Team
</b></p><p>Technology Infrastructure &amp; Operations (TIO) provides the technology foundation that enables Elsevier's global business. With over 400 colleagues across 15 countries, TIO manages the infrastructure, operational services and enterprise platforms that support approximately 9,000 employees worldwide.
<br>
<br>
End User Services is a key function within TIO, delivering secure, reliable and modern workplace technology while driving engineering excellence, operational resilience, AI enablement and enterprise transformation. The resource model is a combination of FTEs and trusted partner organizations augmenting our bench.
</p><p></p><p><b>About the Role
</b></p><p>Reporting to the Senior Vice President, Technology Infrastructure &amp; Operations, you will lead globally distributed engineering and operational teams spanning Enterprise Engineering, Network Engineering, Service Assurance and Service Delivery. You will shape the future of Elsevier's digital workplace by balancing operational excellence with innovation, driving automation, AI-enabled services, technology modernization and continuous improvement. You will also shape how the function itself operates in an AI-enabled environment, embedding AI-driven ways of working across engineering, service delivery and support teams.
</p><p></p><p><b>Responsibilities
</b></p><ul><li>Develop and deliver the End User Services strategy and multi-year roadmap aligned to Elsevier and Technology Infrastructure &amp; Operations priorities.
</li><li>Translate strategic objectives into measurable operational outcomes, balancing transformation with operational excellence.
</li><li>Drive adoption of emerging technologies, including AI and automation, to enhance colleague experience and business performance.
</li><li>Establish governance and operating models for responsible AI adoption, balancing innovation with security, compliance and risk management.
</li><li>Lead global Engineering, Enterprise Engineering, Network Engineering, Service Assurance, Service Delivery and 24/7 TechDesk teams.
</li><li>Drive service quality, resilience, security and operational performance through robust governance, metrics and continuous improvement.
</li><li>Lead strategic initiatives across digital workplace technologies, collaboration platforms, cloud services, device management and AI-enabled solutions.
</li><li>Manage budgets, resources, investment priorities and vendor relationships to deliver sustainable business outcomes.
</li></ul><p><b>Requirements
</b></p><ul><li>Significant experience leading large-scale technology operations within a complex global organisation.
</li><li>Proven ability to develop strategy while delivering operational excellence across multiple technology disciplines.
</li><li>Strong knowledge of digital workplace technologies, cloud services, IT service management, governance and information security.
</li><li>Experience leading technology and organisational transformation, including AI-enabled capabilities.
</li><li>Strong stakeholder management, communication and influencing skills.
</li><li>Commercial and financial acumen, including budget, resource and vendor management.
</li><li>Track record of building inclusive, high-performing teams.
</li><li>Sound judgement on the practical application of AI and experience developing AI capability within organisations.
</li></ul><p></p><p><b>Other
</b></p><ul><li>Certifications: ITIL preferred
</li><li>BS Engineering/Computer Science or equivalent experience required
</li><li>Language: English (fluent). Additional languages are a plus.
</li><li>Travel: Up to 20% (domestic and international).
</li></ul><p></p><p><b>Work in a Way That Works for You
</b></p><p>We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
</p><p></p><p><b>Working Pattern
</b></p><p>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
</p><p></p><p><b>About the Business
</b></p><p>A global leader in information and analytics, we help researchers and healthcare professionals&rsquo; advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.</p><br>
<p></p>
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Head of End User Services

Gensler

<div><div><div><div><h2 class="jobSectionHeader"><b>General Information</b></h2>
</div></div><div><div><div><div>Posting Date</div>
<div>08-28-2026</div>
</div><div><div>Time Type</div>
<div>Full-Time</div>
</div><div><div>Job ID</div>
<div>8940</div>
</div><div><div>Areas of Expertise</div>
<div>Design Technology</div>
</div><div><div>Job Category</div>
<div>Data Apps</div>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Locations</b></h2>
</div></div><div><div><div><div>London, United Kingdom</div>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description</b></h2>
</div></div><div></div><div><div><div><div><p>Placed at the heart of Gensler&rsquo;s People + Process + Technology, the Global Design Technology Studio is advancing a growing data and machine learning foundation that is shaping how the firm designs and delivers its work for generations to come. We believe that when the right intelligence is in the hands of the right people at the right moment, we can transform Gensler and our industry so that our designers can make better decisions, unlock new value for clients, and create built environments that are more responsive, more meaningful, and more impactful than ever before.
</p><p>In the role of Machine Learning Engineer, you will drive and operationalize machine learning across AEC data domains including BIM, geospatial, design-performance, operational, and other project and practice data, translating technical capability into tools and workflows that practitioners can use. This is a digitally transformative, hands-on engineering role focused on building, deploying, maintaining, and optimizing machine learning systems and data pipelines, working with large-scale datasets to power production-ready intelligent systems and drive scalable outcomes across the firm. Success in this role means delivering reliable, secure, and well-governed ML systems that integrate into design workflows, are adopted by teams, and improve decision-making across the firm. You will help shape these capabilities inside an established Design Technology team, working alongside AI and data engineers, data scientists, designers, and product stakeholders to translate ambitious, pioneering ideas into production-ready platforms.<br>
</p><p></p><br>
<p><b>What You Will Do
</b></p><div><ul><li>Design, build, and maintain reliable Azure-based ETL/ELT pipelines that deliver clean, documented data to models, APIs, internal applications, dashboards, and Gensler IP.</li>
<li>Own the production ML lifecycle on Azure &mdash; deployment, monitoring, versioning, retraining, rollback, and incident response &mdash; including model registries, feature stores, evaluation frameworks, and benchmarking.</li>
<li>Implement CI/CD, testing, reproducibility, and deployment standards for model and data workflows.</li>
<li>Extend and mature cloud data architecture and modeling strategies that support analytics and machine learning workloads.</li>
<li>Source, profile, and document datasets with business owners to confirm provenance, quality, fitness for use, and alignment with client-data and governance requirements.</li>
<li>Evaluate model performance and address root causes across data quality, feature engineering, training methodology, and architecture.</li>
<li>Translate research prototypes and experimental models into documented, production-ready systems.</li>
<li>Work across AEC data types such as BIM/Revit/IFC, geospatial, design-performance, occupancy, and other built-environment datasets.</li>
<li>Integrate machine learning outputs into design and delivery workflows so practitioners can access insights earlier and make more informed project decisions.</li>
<li>Apply responsible AI and data governance practices, including transparency, traceability, human oversight, and appropriate handling of client and project data.</li>
<li>Support the firm's data-driven design community through technical guidance, code review, and knowledge sharing.</li>
<li>Help define and track success criteria for deployed systems, including reliability, adoption, reuse, and measurable workflow or decision impact.</li><br>
</ul></div><p></p><br>
<p><b>Your Qualifications
</b></p><div><ul><li>Bachelor's or advanced degree in Computer Science, Software Engineering, Data Science, Statistics, Applied Mathematics, or a related field; equivalent production ML or data engineering experience considered.</li>
<li>8+ years of hands-on experience building, deploying, and operating production ML systems on Azure, with practical MLOps and CI/CD experience including experiment tracking, deployment hygiene, monitoring, evaluation, and operational documentation.</li>
<li>Strong Python and software engineering fundamentals, including testing, version control, code review, reproducibility, modular design, documentation, and maintainable code practices.</li>
<li>Strong experience with Azure-based data and ML platforms, ideally including Azure ML, Databricks, Azure Data Factory or Fabric pipelines, Blob/Data Lake storage, and MLflow or similar tooling.</li>
<li>Experience building production-grade ETL/ELT pipelines and supporting ML workloads from ingestion through deployment.</li>
<li>Comfort moving between data engineering, machine learning, cloud architecture, infrastructure, and hands-on data exploration in a creative, collaborative environment.</li>
<li>Practical knowledge of containerization, infrastructure-as-code, and platform and tooling decisions in lean or fast-moving engineering environments.</li>
<li>Clear communicator who can explain technical decisions to non-engineering stakeholders, collaborate across disciplines, and mentor or support junior engineers.</li>
</ul></div><p>Meaningful pluses
</p><div><ul><li>Experience with AEC, real estate, BIM, geospatial, or digital twin data</li>
<li>Experience integrating ML into practitioner-facing workflows</li>
<li>Familiarity with responsible AI practices</li>
<li>LLM or GenAI deployment patterns</li>
<li>Power BI or other visualization tools</li>
<li>Experience with agentic engineering practices</li><br>
</ul></div><p></p><br>
<p><b>Life at Gensler
</b></p><p>At Gensler, we are as committed to enjoying life as we are to delivering best-in-class design. From curated art exhibits to internal design competitions to &ldquo;Well-being Awareness Week,&rdquo; our offices reflect our people&rsquo;s diverse interests.
</p><p>We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, profit sharing, employee stock ownership, and twice annual bonus opportunities. Our annual base salary range has been established based on local markets.<br>
<br>
</p><p>As part of the firm&rsquo;s commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future.</p><br>
<div></div>
<div></div><br>
<div><b>NOTICE TO APPLICANTS
</b></div><div>We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under applicable regulatory laws.
</div><div>Individuals with disabilities and protected veterans are encouraged to apply. We also consider qualified applicants with criminal histories consistent with applicable regulatory laws.
</div><div>Gensler endeavors to make gensler.com/careers accessible to all applicants. If you need assistance or an accommodation due to a disability, you may <b>contact us </b>.
</div><div>Regarding Gensler&rsquo;s approach to recruiting new talent, we will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with Gensler to review available information on <b>recruitment fraud </b>. Anyone who suspects that they have been contacted by someone falsely representing Gensler should email talentacquisition@gensler.com .</div></div></div></div></div></div></div>

Machine Learning Engineer

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