lifecycle of AI projects, machine learning operationalization processes Experienced with AI solutions deployment to main cloud providers Hands-on with Python and TensorFlow or PyTorch Possessing strong interpersonal, analytical, and problem-solving skills Easily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily More ❯
lifecycle of AI projects, machine learning operationalization processes Experienced with AI solutions deployment to main cloud providers Hands-on with Python and TensorFlow or PyTorch Possessing strong interpersonal, analytical, and problem-solving skills Easily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily More ❯
lifecycle of AI projects, machine learning operationalization processes Experienced with AI solutions deployment to main cloud providers Hands-on with Python and TensorFlow or PyTorch Possessing strong interpersonal, analytical, and problem-solving skills Easily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily More ❯
to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. More ❯
to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. More ❯
to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. More ❯
to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. More ❯
in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., Vertex AI). More ❯
ML platform development and model deployment Experience in establishing and improving MLOps processes Strong Python development skills Experience with a machine learning toolkit, preferably PyTorch Personal qualities & attributes Strong collaboration and communication skills, with the ability to work effectively in a multidisciplinary team and convey technical concepts to a variety More ❯
record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA More ❯
record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA More ❯
record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA More ❯
glasgow, central scotland, United Kingdom Hybrid / WFH Options
Blue Signal Search
and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving More ❯
edinburgh, central scotland, United Kingdom Hybrid / WFH Options
Blue Signal Search
and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving More ❯
aberdeen, north east scotland, United Kingdom Hybrid / WFH Options
Blue Signal Search
and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving More ❯
glasgow, central scotland, United Kingdom Hybrid / WFH Options
Greybridge Search & Selection
Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For More ❯
edinburgh, central scotland, United Kingdom Hybrid / WFH Options
Greybridge Search & Selection
Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For More ❯
aberdeen, north east scotland, United Kingdom Hybrid / WFH Options
Greybridge Search & Selection
Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
ENGINEERINGUK
Networking and security protocols, load balancers, API Gateways ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte) Accelerated compute libraries and hardware (e.g. pytorch, NVIDIA GPUs) Data modeling, and strategies for cleaning and validating data at scale Performance tuning on RDBMS or Big Data tools for row- and column More ❯
The Risk Management & Corporate Technology Machine Learning team at JPMorgan Chase is dedicated to addressing complex business challenges through the application of data science and machine learning techniques across Risk, Compliance, Conduct, and Operational Risk. As an Applied AI/ More ❯
experience in ML, AI, CS, physics, or mathematics • Strong publication record (NeurIPS, ICML, ICLR, etc.) • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization More ❯
experience in ML, AI, CS, physics, or mathematics • Strong publication record (NeurIPS, ICML, ICLR, etc.) • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization More ❯
