Gen AI Specialist

CV-Library
London
13 months ago
Applications closed

Related Jobs

View all jobs

Developer Relations Manager, Retail - EMEA

NVIDIA

Developer Relations Manager, Retail - EMEA

NVIDIA

Private Equity GenAI Solutions Architect, AWS Private Equity

Amazon London, United Kingdom
Permanent

Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure

NVIDIA Reading, United Kingdom
On-site

Solutions Architect - NVIDIA Cloud Partners

NVIDIA

Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure

NVIDIA United Arab Emirates
On-site
Posted
17 Apr 2025 (13 months ago)

Gen AI Specialist
Location: Canary Wharf, London (3 days onsite)
Contract Length: 10 months
Daily Rate: £800 - £850 (inside IR35 via umbrella)

Are you a seasoned Data Scientist with a passion for Generative AI? Our client is seeking a Gen AI Specialist to join their dynamic Technology team in Canary Wharf. This role offers an exciting opportunity to work on innovative solutions that address complex financial data challenges, particularly in credit risk management.

Key Responsibilities:

Lead the development and coordination of analytical plans, ensuring alignment with various teams.
Manage deliverables in an agile environment while maintaining clear and effective communication with stakeholders.
Present analytical findings, updates, and challenges to diverse audiences including business units, technology management, and risk review teams.
Execute data modelling and cleaning processes utilising both internal and external data sources.
Build predictive and prescriptive models through data manipulation and cleaning.
Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process.
Implement features throughout the ML lifecycle-Development, Testing, Training, Production, and Monitoring-to ensure the scalability and reliability of solutions.Qualifications:

PhD or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems.
Proven track record of designing and developing scalable and reliable machine learning systems.
Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques.
Proficiency in programming languages such as Python, SQL, Spark, PySpark, TensorFlow, or equivalent analytical/model-building tools.
Familiarity with tools and technologies related to LLMs.
Ability to work independently while also thriving in a collaborative team environment.
Experience with GenAI/LLMs projects.
Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
Background in financial services, including banking or risk management.
Knowledge of capital markets and financial instruments, along with modelling expertise.

If you are a forward-thinking individual with an adaptive mindset ready to tackle complex business problems, we want to hear from you! Join our client's innovative team and contribute to the future of financial data analysis.

To Apply: Please submit your CV and a cover letter detailing your relevant experience and interest in the role.

Our client is an equal opportunity employer and welcomes applicants from diverse backgrounds.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Industry Insights

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

Robotics Jobs in the UK: Roles, Skills, Salaries and How to Get Hired (2026 Guide)

Robotics Jobs UK 2026: roles, salaries and skills for engineers and researchers in manufacturing, logistics, autonomous vehicles, defence and healthcare. In the UK, most robotics jobs cluster around hubs such as London, Cambridge, Bristol, Oxford, Manchester and Edinburgh, with common titles including Robotics Engineer, SLAM Engineer, Controls Engineer and Mechatronics Engineer. The most efficient way to browse live robotics jobs is via specialist boards like RoboticsJobs.co.uk, which curate roles specifically in this field so you are not lost in generic tech listings. This guide covers everything you need to know about robotics jobs in the UK in 2026, from the roles and skills in demand to where to find live opportunities and how to stand out as a candidate.

Where to Advertise Robotics Jobs in the UK (2026 Guide)

Where to advertise robotics jobs UK in 2026: the specialist boards, university channels and community routes that reach robotics, SLAM and controls talent. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Robotics Jobs UK 2026: What to Expect Over the Next 3 Years

Robotics Jobs UK 2026: roles, salaries and the automation hiring trends shaping UK robotics careers over the next three years — industrial, service and humanoid. Robotics is having a moment that feels qualitatively different from the cycles of hype and disappointment that have characterised the sector in previous decades. The convergence of advances in AI, computer vision, battery technology, and hardware manufacturing has brought robotics to an inflection point — one where the gap between what robots can do in controlled laboratory conditions and what they can do in the unpredictable complexity of the real world is closing faster than at any previous point in the discipline's history. For job seekers, this inflection point is creating a jobs market that is expanding rapidly across a far wider range of industries and role types than robotics has historically occupied. Automotive and manufacturing remain significant employers, but they are now joined by logistics and warehousing, healthcare, agriculture, construction, defence, and the emerging category of humanoid robotics — each generating distinct hiring demand and drawing on overlapping but meaningfully different skill sets. The candidates who will thrive over the next three years are those who understand where the sector is heading — which application areas are scaling from pilot to production, which technologies are defining the architecture of modern robotic systems, and how the definition of a robotics career is evolving beyond the mechanical engineering core toward a much richer intersection of software, AI, and systems engineering. This article breaks down what the UK robotics jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career at the leading edge of one of the most exciting technology transitions of the coming decade.