3063 IT & Software Developer jobs in the UK

AI/ML Principal Engineer
£146,000 - 146,000
Velocity Talent Ltd
Clifton Moor Gate, London
£146,000 - 146,000
Requirements
Must:
- Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn)
- Statistical & Multivariate Analysis
- Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark
- DataLake Architecture, AWS Redshift, Kinesis, EMR
- Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN
- Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost
- Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering
- Deep Learning: ANN, CNN, RNN, LSTM
- Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential
- NLP & Generative AI: NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings
- Transformers: BERT, ELMo
- OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002
- Libraries & Tools: numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly
- Programming Languages: Python, R, C++, C#, Java, Node.js, HTML, SQL
- Agentic AI: OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone
Responsibilities
- Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications.
- Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights.
- Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures.
- Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods).
- Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras.
- Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs.
- Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows.
- Collaborate with cross-functional teams to deploy AI solutions in production environments.
- Ensure scalability, security, and compliance of AI systems.
Description
We are seeking an experienced AI/Machine Learning Engineer for a 12-month hybrid role based in central London. This position offers a competitive rate of £400 per day inside IR35 and requires 2-3 days in the office each week. You will join a dynamic team working on innovative AI solutions and have the chance to start before Christmas. We encourage interested candidates to apply as soon as possible, as interviews are scheduled for next week.
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You can find Machine Learning Engineer salaries in the UK here.
How many Machine Learning Engineer jobs are in the UK?
Currently, there are 3063 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the UK a good place for Machine Learning Engineers?
The UK is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the UK?
Mas & Pas Limited, Pertemba Global, Scottish Prison Service, Lloyds Banking Group, Access4, UK Biobank, Tech Mahindra among others, are currently hiring for ML, AI roles in the UK.
The company with most openings is Experis as they are hiring for 105 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Experis as they are hiring for 105 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.