slough, south east england, united kingdom Hybrid / WFH Options
Amber Labs
model reasoning and user experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Amber Labs
model reasoning and user experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
versioning, and reproducible experimentation. You’ll Bring Strong experience with LLMs, generative, or multimodal models , ideally involving large-scale training or evaluation. Hands-on fluency in PyTorch, JAX, or TensorFlow , with experience in DeepSpeed, Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
versioning, and reproducible experimentation. You’ll Bring Strong experience with LLMs, generative, or multimodal models , ideally involving large-scale training or evaluation. Hands-on fluency in PyTorch, JAX, or TensorFlow , with experience in DeepSpeed, Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
versioning, and reproducible experimentation. You’ll Bring Strong experience with LLMs, generative, or multimodal models , ideally involving large-scale training or evaluation. Hands-on fluency in PyTorch, JAX, or TensorFlow , with experience in DeepSpeed, Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
versioning, and reproducible experimentation. You’ll Bring Strong experience with LLMs, generative, or multimodal models , ideally involving large-scale training or evaluation. Hands-on fluency in PyTorch, JAX, or TensorFlow , with experience in DeepSpeed, Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment More ❯
london (city of london), south east england, united kingdom
SR2 | Socially Responsible Recruitment | Certified B Corporation™
versioning, and reproducible experimentation. You’ll Bring Strong experience with LLMs, generative, or multimodal models , ideally involving large-scale training or evaluation. Hands-on fluency in PyTorch, JAX, or TensorFlow , with experience in DeepSpeed, Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment More ❯
/AI (LLMs, data mining, recommendation systems, or pattern recognition) Proven hands-on experience with LLM agents and generative AI systems Strong Python skills, with experience in PyTorch or TensorFlow Experience running large-scale ML experiments and managing compute environments Master s (or PhD) in Computer Science , AI , ML , or related field Bonus: Backend (APIs) + frontend (React/ More ❯
ML/AI (LLMs, recommender systems, data mining, or similar). Proven hands-on work with LLM agents/generative AI . Strong coding in Python with PyTorch/TensorFlow . Advanced debugging, experimentation, and optimisation skills. Master's or PhD in Computer Science, AI, ML, or related field . Bonus Skills: Research background (papers, Kaggle Master). Backend More ❯
is highly preferred Demonstrated ability to deploy production-level ML modelsparticularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Hands-on experience with AWS services, especially SageMaker, Lambda, and related infrastructure Willingness to contribute to backend development to support ML model integration If you're looking More ❯
modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources More ❯
is highly preferred Demonstrated ability to deploy production-level ML modelsparticularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of supervised and unsupervised learning, statistical modelling, and mathematical optimisation Hands-on experience with AWS services, especially SageMaker, Lambda, and related infrastructure Willingness to contribute More ❯
modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources More ❯
is highly preferred Demonstrated ability to deploy production-level ML modelsparticularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of supervised and unsupervised learning, statistical modelling, and mathematical optimisation Hands-on experience with AWS services, especially SageMaker, Lambda, and related infrastructure Willingness to contribute More ❯
highly preferred Demonstrated ability to deploy production-level ML models—particularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of supervised and unsupervised learning, statistical modelling, and mathematical optimisation Hands-on experience with AWS services, especially SageMaker, Lambda, and related infrastructure Willingness to contribute More ❯
highly preferred Demonstrated ability to deploy production-level ML models—particularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of supervised and unsupervised learning, statistical modelling, and mathematical optimisation Hands-on experience with AWS services, especially SageMaker, Lambda, and related infrastructure Willingness to contribute More ❯
experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory/reflection mechanisms. Proven ability More ❯
experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory/reflection mechanisms. Proven ability More ❯
pick up latest and greatest technologies • MS in Computer Science or equivalent experience Preferred: • Programming Language: Python • Big Data Technologies: AWS EMR, Iceberg, Spark, Kafka, & YARN • Machine Learning: PyTorch, TensorFlow, Spark ML • REST API: Flask, FastAPI, or Django • Data Quality tools such as Monte Carlo, Great Expectations, or Databand • Experience with teams using MLflow Type: Contract Duration: 12 months More ❯
or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFace Experience building full ML pipelines from data ingestion to deployment Solid software engineering practices including testing, version control, and CI/CD Strong communication and collaboration skills More ❯
or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFace Experience building full ML pipelines from data ingestion to deployment Solid software engineering practices including testing, version control, and CI/CD Strong communication and collaboration skills More ❯
prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation More ❯
prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
GTS Group Ltd
C++, with hands-on experience using frameworks such as Flask and Django, and integrating computer vision capabilities. Computer Vision: Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch. Databases & Servers: Solid knowledge of MySQL, MongoDB, and web servers like Apache. UI/UX: Good understanding of UI/UX principles to build intuitive and visually More ❯
