Mid Weight Structural Designer Job at DS Smith (Ely)

Mid Weight Structural Designer

We have an exciting opportunity for a Mid Weight POS Structural Designer to join...

Location

United Kingdom , Ely

Salary:

Not provided

DS Smith

Expiration Date

Until further notice

Requirements

Experience in POS (Point of Sales) Design
Strong attention to detail
Ability to communicate and work well with Account Managers and other teams in the business
Knowledge of the POS (Point of Sales) industry, or an interest in developing your knowledge
Experience using ArtiosCAD or similar software packages

Job Responsibility

Provide support to the Account Management, Commercial and Production teams to drive sales and growth
Deliver an outstanding level of service focusing on competitiveness, communication, accuracy, reliability and dependability
Provide a consistently high standard of quality in your work to support the growth and development of the function and wider business
Be fully involved with all stages of the design process
Use ArtiosCAD to design bespoke POS products for customers
Provide customers with accurate specification drawings, samples, prototypes, and assembly guides
Have frequent interaction with Creative and Artwork teams
Work closely with the Structural Team Leaders

What we offer

Competitive salary
Pension scheme, life assurance and income protection
Employee Assistance Programme
25 days’ holiday plus bank holidays
Cycle to work scheme
Employee discounts

Fulltime

Mid-Weight Creative Team

We’re looking for a Mid–Weight Creative Team to help define, shape, and deliver ...

Location

United Kingdom , London; Bournemouth

Salary:

Not provided

Nomensa

Expiration Date

Until further notice

Requirements

5+ years’ experience as a Creative Team or equivalent solo creatives in a creative, social, or content-led agency environment
A strong portfolio showing concept, craft, and consistency across multiple channels
Excellent copywriting skills for the copywriter and strong visual thinking for the art director
Experience working closely with designers, motion, editors, and other creative specialists
Confident presenting ideas and articulating creative thinking with clarity
Comfortable working at pace across multiple projects with high expectations

Job Responsibility

Develop clear, original creative ideas that answer the brief and resonate culturally
Think in systems and narratives, not just one-offs, considering how ideas live and evolve
Generate ideas quickly, refine them thoughtfully, and know when to push further
Balance instinct with insight, understanding why an idea works and how to make it stronger
Deliver high-quality creative across a range of formats and channels
Write with confidence, clarity, and tone
design and art direct with strong visual judgement
Maintain a high level of craft and attention to detail across every output
Ensure work is consistent, considered, and on-brand at every touchpoint
Take ideas from concept to completion, working closely with designers, editors, animators, and production partners

What we offer

Private Medical Insurance
BUPA Life Assurance
Income protection
Employee Assistance Programme
Cycle to Work salary sacrifice scheme
Tech & Wearables salary sacrifice scheme
Octopus EV Scheme
Discounts and deals on a range of items from hotels, holidays and hormone testing to cinema, gyms and will writing

Fulltime

Senior Ml Engineer

Location

Colombia , Medellín, Antioquia;Bogotá, Capital District;Cali, Valle del Cauca;Barranquilla;Bucaramanga, Santander

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Senior ML Engineer (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Senior ML Engineer (GenAI, AWS)

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Senior Ml Engineer (Genai, Aws)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Senior ML Engineer (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Research Scientist - Large Language Model

This is a rare opportunity to help define the future of large-scale language mod...

Location

United States , Palo Alto

Salary:

250000.00 - 450000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning and large language models
Deep understanding of autoregressive transformers and large-scale training dynamics
Experience with pre-training large models and/or post-training techniques such as instruction tuning, RLHF, preference optimization, or distillation
Hands-on experience with PyTorch and distributed training at scale
Comfortable operating across research and production environments

Job Responsibility

Architect and scale large autoregressive language models
Design improved pre-training objectives to enhance reasoning, knowledge retention, and compositional generalization
Develop mid-training strategies such as continued pre-training, domain adaptation, curriculum learning, and synthetic data integration
Advance post-training techniques, including instruction tuning, preference optimization, reinforcement learning, distillation, and inference-time compute scaling
Study and improve long-context modeling, planning depth, and multi-step reasoning behavior
Curate and construct massive, high-quality text corpora for pre-training
Design synthetic data pipelines for reasoning, tool use, mathematics, coding, and structured problem solving
Develop filtering, mixture weighting, and curriculum strategies that shape emergent capabilities
Formulate new tasks that improve coherence, logical consistency, factual grounding, and robustness
Train frontier-scale language models across large GPU clusters

Fulltime

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Mid Weight Structural Designer

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