876 to 900 of 1,009 PyTorch Jobs

000. 1-2 years experience working in AI development environments. Comes from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Good understanding of LLMs. Strong technical background in Data, Development & Cloud – Python/Azure. Excellent collaboration and stakeholder management skills. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self More ❯

000. 1-2 years experience working in AI development environments. Comes from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Good understanding of LLMs. Strong technical background in Data, Development & Cloud – Python/Azure. Excellent collaboration and stakeholder management skills. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

years’ experience in machine learning engineering (some research is fine but this should be coupled with strong and referencable applied work in production.) Strong Python plus frameworks such as PyTorch - production experience with Docker/AWS Proven track record of taking models from concept to production with measurable impact - ROI/Gains/Drops/Reducations Experience with time-series More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

years’ experience in machine learning engineering (some research is fine but this should be coupled with strong and referencable applied work in production.) Strong Python plus frameworks such as PyTorch - production experience with Docker/AWS Proven track record of taking models from concept to production with measurable impact - ROI/Gains/Drops/Reducations Experience with time-series More ❯

years’ experience in machine learning engineering (some research is fine but this should be coupled with strong and referencable applied work in production.) Strong Python plus frameworks such as PyTorch - production experience with Docker/AWS Proven track record of taking models from concept to production with measurable impact - ROI/Gains/Drops/Reducations Experience with time-series More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

Details: Salary: $130–150k base (paid in GBP) + equity (4y vest, 1y cliff) + performance bonus Location: Fully remote, EMEA-friendly time zones Stack: Python, GCP, TensorFlow/PyTorch, LLM APIs Visa: Cannot sponsor Requirements: 3–6+ years DS/ML experience Strong Python & applied ML skills; end-to-end ML lifecycle experience Familiarity with modern AI/LLM More ❯

Learning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2).- Proficiency in PyTorch (or similar) and comfortable optimizing GPU inference.- Experience deploying ML models to production and integrating via APIs.- Familiarity with AWS, GCP, or Azure for scalable deployment. Desirable:- Understanding of speaker More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

real-time deployment. What We’re Looking For 3+ years’ experience building and deploying deep learning systems, with shipped models or published research. Strong Python skills and proficiency in PyTorch or JAX. Hands-on with at least one of: LLMs, VLMs, or image/video generative models. Experience with deep learning infrastructure (datasets, distributed training, checkpointing, etc.). Clear, structured More ❯

real-time deployment. What We’re Looking For 3+ years’ experience building and deploying deep learning systems, with shipped models or published research. Strong Python skills and proficiency in PyTorch or JAX. Hands-on with at least one of: LLMs, VLMs, or image/video generative models. Experience with deep learning infrastructure (datasets, distributed training, checkpointing, etc.). Clear, structured More ❯

real-time deployment. What We’re Looking For 3+ years’ experience building and deploying deep learning systems, with shipped models or published research. Strong Python skills and proficiency in PyTorch or JAX. Hands-on with at least one of: LLMs, VLMs, or image/video generative models. Experience with deep learning infrastructure (datasets, distributed training, checkpointing, etc.). Clear, structured More ❯

real-time deployment. What We’re Looking For 3+ years’ experience building and deploying deep learning systems, with shipped models or published research. Strong Python skills and proficiency in PyTorch or JAX. Hands-on with at least one of: LLMs, VLMs, or image/video generative models. Experience with deep learning infrastructure (datasets, distributed training, checkpointing, etc.). Clear, structured More ❯

real-time deployment. What We’re Looking For 3+ years’ experience building and deploying deep learning systems, with shipped models or published research. Strong Python skills and proficiency in PyTorch or JAX. Hands-on with at least one of: LLMs, VLMs, or image/video generative models. Experience with deep learning infrastructure (datasets, distributed training, checkpointing, etc.). Clear, structured More ❯

regulated industry. The Player You’re fluent in generative AI, from prompt engineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch, and a sharp eye for AI trends and ethics. You’re collaborative, curious, and ready to build intelligent systems that perform at scale. If you’re passionate about innovation and More ❯