Senior AI Engineer Strategist - GenAI LLMs EdTech

Attis Global
London
6 days ago
Create job alert
Job Description

Senior AI Engineer / Strategist GenAI / LLMs/ EdTech

Senior AI Engineer / Strategist specialising in Generative AI (GenAI) and Large Language Models (LLMs) is required to join our innovative EdTech client in London. This role will be pivotal in developing and implementing cuttingedge AI solutions that enhance educational experiences and drive meaningful insights.

PLEASE NOTE: Unfortunately the company are unable to accommodate candidates who require a work visa..

On top of a flexible salary ranging fromyoull also get:

  • The opportunity to work on cuttingedge AI projects in the EdTech sector .
  • Collaborative and innovative work environment .
  • Flexible hybrid working model.
  • Continuous learning and development opportunities.

Purpose of the role

  • Collaborate with product design and engineering teams to define AI and datarelated tasks with a focus on Generative AI.
  • Research and create innovative statistical models Generative AI APIs/models and Neural Network models.
  • Develop MVP and productionlevel models for new products.
  • Enhance business processes by utilising analytics for actionable insights.
  • Stay updated with the latest technical and industry trends.

Responsibilities:

  • Lead data strategy efforts to identify and integrate new datasets.
  • Manage data acquisition based on project requirements.
  • Conduct analytical experiments to address complex problems.
  • Perform data and error analysis to refine models.
  • Clearly communicate data insights and objectives to stakeholders.
  • Deploy analytical models in production environments.
  • Implement NLP and computer vision functionalities.
  • Finetune LLMs and develop GPTbased applications.

The successful applicant will have:

  • Experience in EdTech or the education consulting industry.
  • 4 years experience in data science data mining statistical analysis and machine learning models.
  • Expertise in Generative AI models and finetuning them for specific product needs.
  • Advanced skills in pattern recognition predictive modeling and recommendation engines.
  • Proficiency in SQL and programming languages such as Python and R including their popular libraries.
  • Ability to thrive in a dynamic researchoriented environment with multiple ongoing projects.
  • Masters degree (or equivalent) in statistics applied mathematics computer science data science or a related field.
  • Strong team spirit and collaboration skills.
  • Flexible working style (Hybrid).

If you are a forwardthinking AI professional with a passion for educational technology and a knack for innovative problemsolving we would love to hear from you. Apply now to join our team and make a significant impact in the world of EdTech!

If you are interested in this role please apply with your CV through this site.

Keywords:Senior AI Engineer Machine Learning Data Scientist Generative AI Large Language Models LLMs EdTech Data Science Machine Learnings NLP Computer Vision Statistical Models Predictive Modeling Python R SQL Hybrid Work Education Technology London Artificial Intelligence Engineer

DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age sex race religion or belief disability pregnancy and maternity marriage and civil partnership sexual orientation gender and/or gender reassignment and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.


Required Experience:

Senior IC


Key Skills
APIs,C/C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage
Employment Type :Full-Time
Experience:years
Vacancy:1
Yearly Salary Salary:75000 - 100000

Related Jobs

View all jobs

Principal Data Scientist - NLP

Data & AI Architect (Basé à London)

Data & AI Architect (Basé à London)

Head of Artificial Intelligence

Senior Product Manager - Insights (Basé à London)

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Early-Stage Startup, UK Remote

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.