Job description
AI/ML Data Science Developer
Start: ASAP
Duration: 6-12 months
Location: 2-3 days on site in Stevenage
Pay: inside IR35, up to £510 per day
We’re seeking an experienced Senior AI/ML Developer to join an innovative team shaping next-generation solutions in the Telecoms sector.
Key Responsibilities
- Design, build and deploy AI/ML models, including LLMs and generative AI
- Perform data exploration, feature engineering, and model optimisation
- Apply supervised, unsupervised, and reinforcement learning algorithms
- Conduct large-scale data analysis across structured and unstructured sources
- Develop statistical and predictive models to drive business insights
- Productionise models and monitor performance, identifying drift and retraining needs
- Integrate AI/ML solutions into wider business systems and applications
- Create robust documentation for pipelines, models, and analytical workflows
- Stay abreast of AI/ML advancements and best practices
- Collaborate with cross-functional teams and support junior staff
Your Profile
Essential:
- 5+ years’ experience in AI/ML development and data science
- Strong grasp of ML/AI algorithms, including LLMs and automated AI systems
- Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn)
- Skilled in handling large datasets, data wrangling, and statistical modelling
- Comfortable working independently on end-to-end ML pipelines
- Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau)
Desirable:
- Exposure to cloud platforms (AWS, GCP, Azure) and big data tools (Hadoop, Spark)
- MSc/PhD in Computer Science, AI, Data Science, or related field
Start: ASAP
Duration: 6-12 months
Location: 2-3 days on site in Stevenage
Pay: inside IR35, up to £510 per day
We’re seeking an experienced Senior AI/ML Developer to join an innovative team shaping next-generation solutions in the Telecoms sector.
Key Responsibilities
- Design, build and deploy AI/ML models, including LLMs and generative AI
- Perform data exploration, feature engineering, and model optimisation
- Apply supervised, unsupervised, and reinforcement learning algorithms
- Conduct large-scale data analysis across structured and unstructured sources
- Develop statistical and predictive models to drive business insights
- Productionise models and monitor performance, identifying drift and retraining needs
- Integrate AI/ML solutions into wider business systems and applications
- Create robust documentation for pipelines, models, and analytical workflows
- Stay abreast of AI/ML advancements and best practices
- Collaborate with cross-functional teams and support junior staff
Your Profile
Essential:
- 5+ years’ experience in AI/ML development and data science
- Strong grasp of ML/AI algorithms, including LLMs and automated AI systems
- Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn)
- Skilled in handling large datasets, data wrangling, and statistical modelling
- Comfortable working independently on end-to-end ML pipelines
- Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau)
Desirable:
- Exposure to cloud platforms (AWS, GCP, Azure) and big data tools (Hadoop, Spark)
- MSc/PhD in Computer Science, AI, Data Science, or related field
