Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Full Stack Engineer (React, .NET)

Jones Lang LaSalle IP, Inc.
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

JLL empowers you to shape a brighter way .

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

Our people at JLL and JLL Technologies 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 find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades, or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Innovation Engineering Lead, Lasalle Innovation Team

JLL Technologies COE

What this job involves

About the role

Jones Lang LaSalle, an international commercial real estate firm, is looking for a senior software engineer to build and support AI and data-based applications for its investment management business. This person will become part of the Lasalle Engineering team, working closely with product leads, data science teams, and business stakeholders. The right person will have a results and performance-driven attitude with a strong sense of accountability and the ability to provide ideas, recommendations, and creative progress.

Location: [Chicago/London]

Responsibilities:Lead an innovation team of 3 software engineers based in Chicago/London.Develop and maintain end-to-end software solutions to support our CRE Investment Business, leveraging your expertise in full-stack development methodologies.Collaborate with cross-functional teams, including data scientists, designers, product managers, and business, to build and implement AI-driven features and functionalities into our technology products.Design and implement RESTful APIs, microservices, and cloud-based solutions for scalability and reliability.Integrate machine learning models into backend services to solve complex business problems and enable predictive analytics.Ensure high code quality and efficiency by writing clean, maintainable, and testable code.Work in an agile development environment, with sprint planning, daily stand-ups, and code reviews.Work on critical features that help enhance system security, including recommendations from static code scans, Dynamic Application Security Testing, and Penetration testing results.Perform and participate in peer review sessions.Requirements :Bachelor's or master's degree in computer science, software engineering, or a related field.Proven experience in full-stack software development, with expertise in both front-end and back-end technologies (e.g., JavaScript, HTML/CSS, Python, NodeJS, C#, Java).Strong knowledge and practical experience in AI technologies, such as machine learning, natural language processing (NLP), and computer vision.Familiarity with AI frameworks and libraries, including OpenAI, PyTorch, or Keras.Experience in developing and deploying scalable cloud-based applications using platforms like AWS, Azure, or Google Cloud.Solid understanding of database concepts, specifically SQL and NoSQL databases.Proficiency in working with version control systems (e.g., Git) and DevOps pipelines.Excellent problem-solving skills and ability to learn new technologies quickly.Strong communication and collaboration skills.Prior experience in Investment Management/Commercial Real Estate is preferred.

Location:

On-site - London, GBR

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!

JLL Privacy Notice

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 is for the purposes of processing in connection with JLL's recruitment process. We endeavor to keep your personal information secure with an appropriate level of security and keep it for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.